Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values using optimization algorithms
•Different optimization algorithms were assessed across 3 AFCS motions.•Five evaluation and selection criteria were weighted differently across various AFCS motions to optimize the missile launch at the specified coordinate location, ensuring effective defense against enemy attacks for both long and...
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01.12.2023
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| Abstract | •Different optimization algorithms were assessed across 3 AFCS motions.•Five evaluation and selection criteria were weighted differently across various AFCS motions to optimize the missile launch at the specified coordinate location, ensuring effective defense against enemy attacks for both long and short distances.•The proposed approach is evaluated using FOPID based black hole Optimization, Jaya optimization Algorithm, and sunflower optimization.
Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the "Kp_pitch" criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the "Ki_roll" criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for "Kd_yaw" the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted. |
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| AbstractList | Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the ''Kp_pitch'' criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the ''Ki_roll'' criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for ''Kd_yaw'' the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted. •Different optimization algorithms were assessed across 3 AFCS motions.•Five evaluation and selection criteria were weighted differently across various AFCS motions to optimize the missile launch at the specified coordinate location, ensuring effective defense against enemy attacks for both long and short distances.•The proposed approach is evaluated using FOPID based black hole Optimization, Jaya optimization Algorithm, and sunflower optimization. Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the "Kp_pitch" criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the "Ki_roll" criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for "Kd_yaw" the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted. |
| ArticleNumber | 100305 |
| Author | Marhoon, Hamzah M. Basil, Noorulden |
| Author_xml | – sequence: 1 givenname: Noorulden orcidid: 0000-0003-0847-2611 surname: Basil fullname: Basil, Noorulden email: noorulden@uomustansiriyah.edu.iq organization: Department of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq – sequence: 2 givenname: Hamzah M. orcidid: 0000-0001-5613-6685 surname: Marhoon fullname: Marhoon, Hamzah M. email: hamzah.marhoon@nahrainuniv.edu.iq organization: Department of Systems Engineering, College of Information Engineering, Al-Nahrain University, Jadriya, Baghdad, Iraq |
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| Cites_doi | 10.1016/j.aej.2020.03.005 10.3390/drones7050288 10.1007/s00366-019-00780-7 10.1109/ACCESS.2019.2937978 10.1109/TCST.2021.3059928 10.1016/j.eswa.2016.03.006 10.1016/j.ast.2018.10.008 10.31272/jeasd.25.1.8 10.1016/j.pnucene.2020.103363 10.1016/j.egyr.2020.03.010 10.1016/j.isatra.2021.11.012 10.1016/j.apenergy.2019.05.013 10.1016/j.ast.2019.06.036 10.1016/j.conengprac.2009.07.005 10.1016/j.enconman.2017.08.063 10.1016/j.ast.2016.01.017 10.1016/j.eswa.2020.113902 10.1016/j.ast.2019.105325 10.1007/s12065-019-00290-x 10.2514/2.4794 10.1016/j.conengprac.2020.104526 10.1109/ACCESS.2023.3267128 10.1016/j.conengprac.2021.104861 10.1016/j.ast.2020.106051 10.1016/j.eswa.2021.115040 10.1016/j.isatra.2020.03.001 10.3390/aerospace10010059 10.1016/j.jksuci.2020.12.013 10.1016/j.oceaneng.2022.111493 10.1016/j.nahs.2023.101333 10.2514/1.C034477 10.1016/j.ins.2014.01.026 10.1016/j.knosys.2019.105190 10.1016/j.ins.2008.11.038 10.1109/ACCESS.2021.3107906 10.1016/j.neunet.2012.02.025 10.14419/jacst.v4i1.4094 10.1109/TCST.2005.854345 10.1016/j.asoc.2014.08.056 10.1109/TCST.2005.863662 10.1002/acs.3181 10.1016/j.measen.2022.100640 10.1007/s00366-018-0620-8 10.31272/jeasd.26.2.10 10.1109/TCST.2003.821957 10.1016/j.aej.2023.06.050 10.1016/j.asej.2015.08.003 10.1007/s12555-018-0033-x 10.1016/j.ins.2012.08.023 10.1016/j.solener.2003.08.038 10.1016/j.ast.2021.106938 10.2514/2.4938 |
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| Keywords | Jaya optimization algorithm Sunflower optimization FOPID controller criteria Black hole optimization Adaptive flight control system |
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| References | Rahmani, Ghanbari, Ettefagh (bib0014) 2016; 56 Faramarzi, Heidarinejad, Stephens, Mirjalili (bib0023) 2020; 191 Boskovic, Mehra (bib0031) 2002; 25 Iacca, dos Santos Junior, de Melo (bib0056) 2021; 165 Liu, Zhang, Pan, Zhang (bib0007) 2022; 257 Piotrowski, Napiorkowski, Rowinski (bib0051) 2014; 267 Gomes, da Cunha, Ancelotti (bib0059) 2019; 35 Fahmi, Woolsey (bib0044) 2021; 30 Le-Phan, Dinh, Duc, Van (bib0005) 2023; 11 Qais, Hasanien, Alghuwainem (bib0061) 2019; 250 Shin, Kim (bib0040) 2006; 14 A. Adnan, E. H. Karam, Optimal Improved PID Controller with GOA Algorithm for Single Link Human Leg Robot, J. Eng. Sustain. Dev. 26 (2) (2022) 103–110.S. Seyedtabaii, New flat phase margin fractional order PID design: perturbed UAV roll control study, Rob. Auton. Syst. 96 (2017) 58–64. Hoey (bib0003) 1991 Rysdyk, Calise (bib0030) 2005; 13 Yu, Liang, Qu, Chen, Wang (bib0055) 2017; 150 Mohsenipour, Jegarkandi (bib0013) 2019; 91 Shan, Wang, Liu, Wei (bib0004) 2023 Feng, Wang, Sun, Xi, Wu (bib0035) 2021; 117 Thirumoorthy, Muneeswaran (bib0057) 2021; 178 Raheem, Basil (bib0048) 2023; 25 Yuan, Wang, Wang, Razmjooy (bib0060) 2020; 6 Deeb, Sarangi, Mishra, Sarangi (bib0053) 2022; 34 Sachan, Padhi (bib0038) 2020; 102 Al-Mahturi, Santoso, Garratt, Anavatti (bib0043) 2021; 9 ZHONG, WANG, ZHANG (bib0016) 2023 Lamba, Sondhi, Singla (bib0049) 2020; 125 Ignatyev, Shin, Tsourdos (bib0037) 2020; 105 Shin, Kim (bib0034) 2004; 12 Bouadi, Mora-Camino (bib0032) 2018; 55 Zamani, Karimi-Ghartemani, Sadati, Parniani (bib0028) 2009; 17 Muthusamy (bib0021) 2023 Farahmandian, Hatamlou (bib0052) 2015; 4 Bhookya, Jatoth (bib0026) 2019; 12 Yerramalla, Fuller, Mladenovski, Cukic (bib0029) 2003 Wang, Gong, Dong, Zhong (bib0047) 2019; 93 Yıldırım, Çabuk, Bakırcıoğlu (bib0015) 2023; 213 Chaib, Choucha, Arif (bib0027) 2017; 8 Yuksek, Inalhan (bib0039) 2021; 35 Yan, Wu (bib0042) 2022; 128 Yu (bib0011) 2021; 114 Tran (bib0018) 2023; 277 Jumani (bib0058) 2020; 59 Hatamlou (bib0050) 2013; 222 Lee, Kim (bib0033) 2001; 24 Nair, Selvaganesan, Lalithambika (bib0041) 2016; 51 Noordin, Mohd Basri, Mohamed (bib0001) 2023; 10 Ali, Miry, Salman (bib0012) 2021; 25 Shalaby, El-Hossainy, Abo-Zalam, Mahmoud (bib0020) 2023 Wan, He, Wang, Yan, Shen (bib0008) 2019; 7 Norsahperi, Danapalasingam (bib0009) 2020; 102 Zhang, Zhuang, Du (bib0025) 2009; 179 Krüger, Schnetter, Placzek, Vörsmann (bib0046) 2012; 32 de Angelis, Giulietti, Rossetti, Turci, Albertazzi (bib0002) 2023; 7 Kim, Philip, Tullu, Jung (bib0019) 2023; 11 Seyedtabaii (bib0010) 2019; 17 Kouritem, Mahmoud, Nahas, Abouheaf, Saleh (bib0017) 2023; 76 Bouchekara (bib0054) 2014; 24 Katebi, Shoaei-parchin, Shariati, Trung, Khorami (bib0022) 2020; 36 Su, Li, Wang (bib0036) 2019; 84 Yu, Jung, Choi, Kim (bib0024) 2004; 76 Milbradt, de Oliveira Evald, Hollweg, Gründling (bib0045) 2023; 48 Ignatyev (10.1016/j.prime.2023.100305_bib0037) 2020; 105 Feng (10.1016/j.prime.2023.100305_bib0035) 2021; 117 Bhookya (10.1016/j.prime.2023.100305_bib0026) 2019; 12 Yan (10.1016/j.prime.2023.100305_bib0042) 2022; 128 Piotrowski (10.1016/j.prime.2023.100305_bib0051) 2014; 267 Rysdyk (10.1016/j.prime.2023.100305_bib0030) 2005; 13 Gomes (10.1016/j.prime.2023.100305_bib0059) 2019; 35 Fahmi (10.1016/j.prime.2023.100305_bib0044) 2021; 30 Zhang (10.1016/j.prime.2023.100305_bib0025) 2009; 179 Krüger (10.1016/j.prime.2023.100305_bib0046) 2012; 32 10.1016/j.prime.2023.100305_bib0006 Yu (10.1016/j.prime.2023.100305_bib0055) 2017; 150 Al-Mahturi (10.1016/j.prime.2023.100305_bib0043) 2021; 9 Ali (10.1016/j.prime.2023.100305_bib0012) 2021; 25 Yıldırım (10.1016/j.prime.2023.100305_bib0015) 2023; 213 Rahmani (10.1016/j.prime.2023.100305_bib0014) 2016; 56 Yu (10.1016/j.prime.2023.100305_bib0024) 2004; 76 Hoey (10.1016/j.prime.2023.100305_bib0003) 1991 Sachan (10.1016/j.prime.2023.100305_bib0038) 2020; 102 Faramarzi (10.1016/j.prime.2023.100305_bib0023) 2020; 191 ZHONG (10.1016/j.prime.2023.100305_bib0016) 2023 Yu (10.1016/j.prime.2023.100305_bib0011) 2021; 114 Farahmandian (10.1016/j.prime.2023.100305_bib0052) 2015; 4 Thirumoorthy (10.1016/j.prime.2023.100305_bib0057) 2021; 178 Deeb (10.1016/j.prime.2023.100305_bib0053) 2022; 34 Noordin (10.1016/j.prime.2023.100305_bib0001) 2023; 10 Muthusamy (10.1016/j.prime.2023.100305_bib0021) 2023 Wang (10.1016/j.prime.2023.100305_bib0047) 2019; 93 Bouadi (10.1016/j.prime.2023.100305_bib0032) 2018; 55 Kouritem (10.1016/j.prime.2023.100305_bib0017) 2023; 76 Zamani (10.1016/j.prime.2023.100305_bib0028) 2009; 17 Yerramalla (10.1016/j.prime.2023.100305_bib0029) 2003 Tran (10.1016/j.prime.2023.100305_bib0018) 2023; 277 Yuan (10.1016/j.prime.2023.100305_bib0060) 2020; 6 Seyedtabaii (10.1016/j.prime.2023.100305_bib0010) 2019; 17 Chaib (10.1016/j.prime.2023.100305_bib0027) 2017; 8 Norsahperi (10.1016/j.prime.2023.100305_bib0009) 2020; 102 Shalaby (10.1016/j.prime.2023.100305_bib0020) 2023 Iacca (10.1016/j.prime.2023.100305_bib0056) 2021; 165 Su (10.1016/j.prime.2023.100305_bib0036) 2019; 84 Nair (10.1016/j.prime.2023.100305_bib0041) 2016; 51 Lamba (10.1016/j.prime.2023.100305_bib0049) 2020; 125 de Angelis (10.1016/j.prime.2023.100305_bib0002) 2023; 7 Jumani (10.1016/j.prime.2023.100305_bib0058) 2020; 59 Shan (10.1016/j.prime.2023.100305_bib0004) 2023 Katebi (10.1016/j.prime.2023.100305_bib0022) 2020; 36 Hatamlou (10.1016/j.prime.2023.100305_bib0050) 2013; 222 Boskovic (10.1016/j.prime.2023.100305_bib0031) 2002; 25 Yuksek (10.1016/j.prime.2023.100305_bib0039) 2021; 35 Liu (10.1016/j.prime.2023.100305_bib0007) 2022; 257 Le-Phan (10.1016/j.prime.2023.100305_bib0005) 2023; 11 Shin (10.1016/j.prime.2023.100305_bib0034) 2004; 12 Bouchekara (10.1016/j.prime.2023.100305_bib0054) 2014; 24 Milbradt (10.1016/j.prime.2023.100305_bib0045) 2023; 48 Qais (10.1016/j.prime.2023.100305_bib0061) 2019; 250 Wan (10.1016/j.prime.2023.100305_bib0008) 2019; 7 Lee (10.1016/j.prime.2023.100305_bib0033) 2001; 24 Raheem (10.1016/j.prime.2023.100305_bib0048) 2023; 25 Mohsenipour (10.1016/j.prime.2023.100305_bib0013) 2019; 91 Shin (10.1016/j.prime.2023.100305_bib0040) 2006; 14 Kim (10.1016/j.prime.2023.100305_bib0019) 2023; 11 |
| References_xml | – volume: 4 start-page: 68 year: 2015 end-page: 74 ident: bib0052 article-title: Solving optimization problems using black hole algorithm publication-title: J. Adv. Comput. Sci. Technol. – volume: 17 start-page: 639 year: 2019 end-page: 646 ident: bib0010 article-title: A modified FOPID versus H∞ and µ synthesis controllers: robustness study publication-title: Int. J. Control. Autom. Syst. – volume: 25 start-page: 92 year: 2021 end-page: 99 ident: bib0012 article-title: Implementation of artificial intelligence in controlling the temperature of industrial panel publication-title: J. Eng. Sustain. Dev. – volume: 30 start-page: 408 year: 2021 end-page: 415 ident: bib0044 article-title: port-Hamiltonian flight control of a fixed-wing aircraft publication-title: IEEE Trans. Control Syst. Technol. – volume: 17 start-page: 1380 year: 2009 end-page: 1387 ident: bib0028 article-title: Design of a fractional order PID controller for an AVR using particle swarm optimization publication-title: Control Eng. Pract. – start-page: 77 year: 2003 end-page: 92 ident: bib0029 article-title: Lyapunov analysis of neural network stability in an adaptive flight control system publication-title: Self-Stabilizing Systems: 6th International Symposium, SSS 2003 San Francisco, CA, USA, June 24–25, 2003 Proceedings 6 – volume: 8 start-page: 113 year: 2017 end-page: 125 ident: bib0027 article-title: Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm publication-title: Ain Shams Eng. J. – volume: 11 start-page: 37068 year: 2023 end-page: 37081 ident: bib0019 article-title: Development and verification of a ROS-based multi-DOF flight test system for unmanned aerial vehicles publication-title: IEEE Access – volume: 10 start-page: 1 year: 2023 end-page: 24 ident: bib0001 article-title: Real-time implementation of an adaptive PID controller for the quadrotor MAV embedded flight control system publication-title: Aerospace – volume: 7 start-page: 124828 year: 2019 end-page: 124843 ident: bib0008 article-title: Fractional-order PID motion control for AUV using cloud-model-based quantum genetic algorithm publication-title: IEEE Access – year: 1991 ident: bib0003 article-title: X-15 contributions to the X-30 publication-title: Proc. X-15 First Flight 30th Anniv. Celebr – volume: 11 start-page: 52996 year: 2023 end-page: 53005 ident: bib0005 article-title: Inverse optimal-based attitude control for fixed-wing unmanned aerial vehicles publication-title: IEEE Access – year: 2023 ident: bib0016 article-title: Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control publication-title: Chinese J. Aeronaut. – volume: 93 year: 2019 ident: bib0047 article-title: Morphing aircraft control based on switched nonlinear systems and adaptive dynamic programming publication-title: Aerosp. Sci. Technol. – volume: 222 start-page: 175 year: 2013 end-page: 184 ident: bib0050 article-title: Black hole: a new heuristic optimization approach for data clustering publication-title: Inf. Sci. (Ny). – volume: 84 start-page: 375 year: 2019 end-page: 386 ident: bib0036 article-title: Barrier Lyapunov function-based robust flight control for the ultra-low altitude airdrop under airflow disturbances publication-title: Aerosp. Sci. Technol. – volume: 35 start-page: 420 year: 2021 end-page: 440 ident: bib0039 article-title: Reinforcement learning based closed-loop reference model adaptive flight control system design publication-title: Int. J. Adapt. Control Signal Process. – volume: 128 start-page: 32 year: 2022 end-page: 46 ident: bib0042 article-title: Adaptive tracking flight control for unmanned autonomous helicopter with full state constraints and actuator faults publication-title: ISA Trans. – volume: 277 year: 2023 ident: bib0018 article-title: Operability analysis of control system for ROV launch-and-recovery from autonomous surface vessel publication-title: Ocean Eng. – volume: 24 start-page: 675 year: 2001 end-page: 682 ident: bib0033 article-title: Nonlinear adaptive flight control using backstepping and neural networks controller publication-title: J. Guid. Control. Dyn. – volume: 178 year: 2021 ident: bib0057 article-title: A hybrid approach for text document clustering using Jaya optimization algorithm publication-title: Expert Syst. Appl. – year: 2023 ident: bib0004 article-title: Fuzzy automatic disturbance rejection control of quadrotor UAV based on improved whale optimization algorithm publication-title: IEEE Access – volume: 257 year: 2022 ident: bib0007 article-title: Robust yaw control of autonomous underwater vehicle based on fractional-order PID controller publication-title: Ocean Eng. – year: 2023 ident: bib0020 article-title: Optimal Fractional-Order PID Controller Based on Fractional-Order Actor-Critic Algorithm – volume: 51 start-page: 70 year: 2016 end-page: 77 ident: bib0041 article-title: Lyapunov based PD/PID in model reference adaptive control for satellite launch vehicle systems publication-title: Aerosp. Sci. Technol. – volume: 165 year: 2021 ident: bib0056 article-title: An improved Jaya optimization algorithm with Lévy flight publication-title: Expert Syst. Appl. – volume: 25 start-page: 712 year: 2002 end-page: 724 ident: bib0031 article-title: Multiple-model adaptive flight control scheme for accommodation of actuator failures publication-title: J. Guid. Control. Dyn. – volume: 213 year: 2023 ident: bib0015 article-title: Experimentally flight performances comparison of octocopter, decacopter and dodecacopter using universal UAV publication-title: Meas. J. Int. Meas. Confed. – volume: 13 start-page: 896 year: 2005 end-page: 910 ident: bib0030 article-title: Robust nonlinear adaptive flight control for consistent handling qualities publication-title: IEEE Trans. Control Syst. Technol. – volume: 102 start-page: 230 year: 2020 end-page: 244 ident: bib0009 article-title: Particle swarm-based and neuro-based FOPID controllers for a Twin Rotor System with improved tracking performance and energy reduction publication-title: ISA Trans – volume: 59 start-page: 2429 year: 2020 end-page: 2440 ident: bib0058 article-title: Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system publication-title: Alexandria Eng. J. – volume: 12 start-page: 87 year: 2004 end-page: 100 ident: bib0034 article-title: Reconfigurable flight control system design using adaptive neural networks publication-title: IEEE Trans. Control Syst. Technol. – volume: 9 start-page: 119520 year: 2021 end-page: 119532 ident: bib0043 article-title: Self-learning in aerial robotics using type-2 fuzzy systems: case study in hovering quadrotor flight control publication-title: IEEE Access – reference: A. Adnan, E. H. Karam, Optimal Improved PID Controller with GOA Algorithm for Single Link Human Leg Robot, J. Eng. Sustain. Dev. 26 (2) (2022) 103–110.S. Seyedtabaii, New flat phase margin fractional order PID design: perturbed UAV roll control study, Rob. Auton. Syst. 96 (2017) 58–64. – volume: 14 start-page: 408 year: 2006 end-page: 422 ident: bib0040 article-title: Nonlinear discrete-time reconfigurable flight control law using neural networks publication-title: IEEE Trans. Control Syst. Technol. – volume: 25 year: 2023 ident: bib0048 article-title: Automation intelligence photovoltaic system for power and voltage issues based on black hole optimization algorithm with FOPID publication-title: Meas. Sensors – volume: 114 year: 2021 ident: bib0011 article-title: Fractional order PID-based adaptive fault-tolerant cooperative control of networked unmanned aerial vehicles against actuator faults and wind effects with hardware-in-the-loop experimental validation publication-title: Control Eng. Pract. – volume: 105 year: 2020 ident: bib0037 article-title: Two-layer adaptive augmentation for incremental backstepping flight control of transport aircraft in uncertain conditions publication-title: Aerosp. Sci. Technol. – volume: 76 start-page: 455 year: 2004 end-page: 463 ident: bib0024 article-title: A novel two-mode MPPT control algorithm based on comparative study of existing algorithms publication-title: Sol. Energy – volume: 179 start-page: 1007 year: 2009 end-page: 1018 ident: bib0025 article-title: Self-organizing genetic algorithm based tuning of PID controllers publication-title: Inf. Sci. (Ny). – volume: 12 start-page: 725 year: 2019 end-page: 733 ident: bib0026 article-title: Optimal FOPID/PID controller parameters tuning for the AVR system based on sine–cosine-algorithm publication-title: Evol. Intell. – volume: 7 start-page: 1 year: 2023 end-page: 25 ident: bib0002 article-title: Toward smart air mobility: control system design and experimental validation for an unmanned light helicopter publication-title: Drones – volume: 32 start-page: 267 year: 2012 end-page: 274 ident: bib0046 article-title: Fault-tolerant nonlinear adaptive flight control using sliding mode online learning publication-title: Neural Networks – volume: 102 year: 2020 ident: bib0038 article-title: Nonlinear robust neuro-adaptive flight control for hypersonic vehicles with state constraints publication-title: Control Eng. Pract. – volume: 56 start-page: 164 year: 2016 end-page: 176 ident: bib0014 article-title: Robust adaptive control of a bio-inspired robot manipulator using bat algorithm publication-title: Expert Syst. Appl. – volume: 36 start-page: 1539 year: 2020 end-page: 1558 ident: bib0022 article-title: Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures publication-title: Eng. Comput. – start-page: 1 year: 2023 end-page: 13 ident: bib0021 article-title: Self-organising BFBEL control system for a UAV under wind disturbance publication-title: IEEE Trans. Ind. Electron. – volume: 76 start-page: 543 year: 2023 end-page: 556 ident: bib0017 article-title: A self-adjusting multi-objective control approach for quadrotors publication-title: Alexandria Eng. J. – volume: 35 start-page: 619 year: 2019 end-page: 626 ident: bib0059 article-title: A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates publication-title: Eng. Comput. – volume: 117 year: 2021 ident: bib0035 article-title: Robust modification of nonlinear L1 adaptive flight control system via noise attenuation publication-title: Aerosp. Sci. Technol. – volume: 125 year: 2020 ident: bib0049 article-title: Reduced order model based FOPID controller design for power control in pressurized heavy water reactor with specific gain–phase margin publication-title: Prog. Nucl. Energy – volume: 34 start-page: 5020 year: 2022 end-page: 5029 ident: bib0053 article-title: Improved Black Hole optimization algorithm for data clustering publication-title: J. King Saud Univ. Inf. Sci. – volume: 150 start-page: 742 year: 2017 end-page: 753 ident: bib0055 article-title: Parameters identification of photovoltaic models using an improved JAYA optimization algorithm publication-title: Energy Convers. Manag. – volume: 191 year: 2020 ident: bib0023 article-title: Equilibrium optimizer: a novel optimization algorithm publication-title: Knowledge-Based Syst – volume: 48 year: 2023 ident: bib0045 article-title: A hybrid robust adaptive sliding mode controller for partially modelled systems: discrete-time Lyapunov stability analysis and application publication-title: Nonlinear Anal. Hybrid Syst. – volume: 91 start-page: 617 year: 2019 end-page: 626 ident: bib0013 article-title: Fractional order MIMO controllers for robust performance of airplane longitudinal motion publication-title: Aerosp. Sci. Technol. – volume: 6 start-page: 662 year: 2020 end-page: 671 ident: bib0060 article-title: A new technique for optimal estimation of the circuit-based PEMFCs using developed sunflower optimization algorithm publication-title: Energy Reports – volume: 55 start-page: 666 year: 2018 end-page: 681 ident: bib0032 article-title: Modeling and adaptive flight control for quadrotor trajectory tracking publication-title: J. Aircr. – volume: 250 start-page: 109 year: 2019 end-page: 117 ident: bib0061 article-title: Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm publication-title: Appl. Energy – volume: 267 start-page: 191 year: 2014 end-page: 200 ident: bib0051 article-title: How novel is the ‘novel’ black hole optimization approach? publication-title: Inf. Sci. (Ny). – volume: 24 start-page: 879 year: 2014 end-page: 888 ident: bib0054 article-title: Optimal power flow using black-hole-based optimization approach publication-title: Appl. Soft Comput. – volume: 11 start-page: 52996 issue: May year: 2023 ident: 10.1016/j.prime.2023.100305_bib0005 article-title: Inverse optimal-based attitude control for fixed-wing unmanned aerial vehicles publication-title: IEEE Access – volume: 59 start-page: 2429 issue: 4 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0058 article-title: Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system publication-title: Alexandria Eng. J. doi: 10.1016/j.aej.2020.03.005 – volume: 7 start-page: 1 issue: 5 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0002 article-title: Toward smart air mobility: control system design and experimental validation for an unmanned light helicopter publication-title: Drones doi: 10.3390/drones7050288 – volume: 36 start-page: 1539 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0022 article-title: Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures publication-title: Eng. Comput. doi: 10.1007/s00366-019-00780-7 – volume: 7 start-page: 124828 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0008 article-title: Fractional-order PID motion control for AUV using cloud-model-based quantum genetic algorithm publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2937978 – volume: 30 start-page: 408 issue: 1 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0044 article-title: port-Hamiltonian flight control of a fixed-wing aircraft publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2021.3059928 – volume: 56 start-page: 164 year: 2016 ident: 10.1016/j.prime.2023.100305_bib0014 article-title: Robust adaptive control of a bio-inspired robot manipulator using bat algorithm publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2016.03.006 – volume: 84 start-page: 375 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0036 article-title: Barrier Lyapunov function-based robust flight control for the ultra-low altitude airdrop under airflow disturbances publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2018.10.008 – volume: 25 start-page: 92 issue: 1 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0012 article-title: Implementation of artificial intelligence in controlling the temperature of industrial panel publication-title: J. Eng. Sustain. Dev. doi: 10.31272/jeasd.25.1.8 – volume: 125 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0049 article-title: Reduced order model based FOPID controller design for power control in pressurized heavy water reactor with specific gain–phase margin publication-title: Prog. Nucl. Energy doi: 10.1016/j.pnucene.2020.103363 – volume: 6 start-page: 662 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0060 article-title: A new technique for optimal estimation of the circuit-based PEMFCs using developed sunflower optimization algorithm publication-title: Energy Reports doi: 10.1016/j.egyr.2020.03.010 – volume: 128 start-page: 32 year: 2022 ident: 10.1016/j.prime.2023.100305_bib0042 article-title: Adaptive tracking flight control for unmanned autonomous helicopter with full state constraints and actuator faults publication-title: ISA Trans. doi: 10.1016/j.isatra.2021.11.012 – volume: 277 issue: 223254 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0018 article-title: Operability analysis of control system for ROV launch-and-recovery from autonomous surface vessel publication-title: Ocean Eng. – volume: 250 start-page: 109 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0061 article-title: Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm publication-title: Appl. Energy doi: 10.1016/j.apenergy.2019.05.013 – volume: 91 start-page: 617 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0013 article-title: Fractional order MIMO controllers for robust performance of airplane longitudinal motion publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2019.06.036 – volume: 17 start-page: 1380 issue: 12 year: 2009 ident: 10.1016/j.prime.2023.100305_bib0028 article-title: Design of a fractional order PID controller for an AVR using particle swarm optimization publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2009.07.005 – volume: 150 start-page: 742 year: 2017 ident: 10.1016/j.prime.2023.100305_bib0055 article-title: Parameters identification of photovoltaic models using an improved JAYA optimization algorithm publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2017.08.063 – volume: 51 start-page: 70 year: 2016 ident: 10.1016/j.prime.2023.100305_bib0041 article-title: Lyapunov based PD/PID in model reference adaptive control for satellite launch vehicle systems publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2016.01.017 – year: 2023 ident: 10.1016/j.prime.2023.100305_bib0004 article-title: Fuzzy automatic disturbance rejection control of quadrotor UAV based on improved whale optimization algorithm publication-title: IEEE Access – volume: 165 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0056 article-title: An improved Jaya optimization algorithm with Lévy flight publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113902 – volume: 93 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0047 article-title: Morphing aircraft control based on switched nonlinear systems and adaptive dynamic programming publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2019.105325 – volume: 12 start-page: 725 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0026 article-title: Optimal FOPID/PID controller parameters tuning for the AVR system based on sine–cosine-algorithm publication-title: Evol. Intell. doi: 10.1007/s12065-019-00290-x – volume: 24 start-page: 675 issue: 4 year: 2001 ident: 10.1016/j.prime.2023.100305_bib0033 article-title: Nonlinear adaptive flight control using backstepping and neural networks controller publication-title: J. Guid. Control. Dyn. doi: 10.2514/2.4794 – volume: 102 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0038 article-title: Nonlinear robust neuro-adaptive flight control for hypersonic vehicles with state constraints publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2020.104526 – volume: 11 start-page: 37068 issue: April year: 2023 ident: 10.1016/j.prime.2023.100305_bib0019 article-title: Development and verification of a ROS-based multi-DOF flight test system for unmanned aerial vehicles publication-title: IEEE Access doi: 10.1109/ACCESS.2023.3267128 – volume: 114 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0011 article-title: Fractional order PID-based adaptive fault-tolerant cooperative control of networked unmanned aerial vehicles against actuator faults and wind effects with hardware-in-the-loop experimental validation publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2021.104861 – volume: 213 issue: March year: 2023 ident: 10.1016/j.prime.2023.100305_bib0015 article-title: Experimentally flight performances comparison of octocopter, decacopter and dodecacopter using universal UAV publication-title: Meas. J. Int. Meas. Confed. – volume: 105 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0037 article-title: Two-layer adaptive augmentation for incremental backstepping flight control of transport aircraft in uncertain conditions publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2020.106051 – volume: 178 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0057 article-title: A hybrid approach for text document clustering using Jaya optimization algorithm publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2021.115040 – volume: 102 start-page: 230 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0009 article-title: Particle swarm-based and neuro-based FOPID controllers for a Twin Rotor System with improved tracking performance and energy reduction publication-title: ISA Trans doi: 10.1016/j.isatra.2020.03.001 – volume: 10 start-page: 1 issue: 1 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0001 article-title: Real-time implementation of an adaptive PID controller for the quadrotor MAV embedded flight control system publication-title: Aerospace doi: 10.3390/aerospace10010059 – volume: 34 start-page: 5020 issue: 8 year: 2022 ident: 10.1016/j.prime.2023.100305_bib0053 article-title: Improved Black Hole optimization algorithm for data clustering publication-title: J. King Saud Univ. Inf. Sci. doi: 10.1016/j.jksuci.2020.12.013 – volume: 257 year: 2022 ident: 10.1016/j.prime.2023.100305_bib0007 article-title: Robust yaw control of autonomous underwater vehicle based on fractional-order PID controller publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2022.111493 – volume: 48 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0045 article-title: A hybrid robust adaptive sliding mode controller for partially modelled systems: discrete-time Lyapunov stability analysis and application publication-title: Nonlinear Anal. Hybrid Syst. doi: 10.1016/j.nahs.2023.101333 – volume: 55 start-page: 666 issue: 2 year: 2018 ident: 10.1016/j.prime.2023.100305_bib0032 article-title: Modeling and adaptive flight control for quadrotor trajectory tracking publication-title: J. Aircr. doi: 10.2514/1.C034477 – start-page: 1 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0021 article-title: Self-organising BFBEL control system for a UAV under wind disturbance publication-title: IEEE Trans. Ind. Electron. – volume: 267 start-page: 191 year: 2014 ident: 10.1016/j.prime.2023.100305_bib0051 article-title: How novel is the ‘novel’ black hole optimization approach? publication-title: Inf. Sci. (Ny). doi: 10.1016/j.ins.2014.01.026 – volume: 191 year: 2020 ident: 10.1016/j.prime.2023.100305_bib0023 article-title: Equilibrium optimizer: a novel optimization algorithm publication-title: Knowledge-Based Syst doi: 10.1016/j.knosys.2019.105190 – volume: 179 start-page: 1007 issue: 7 year: 2009 ident: 10.1016/j.prime.2023.100305_bib0025 article-title: Self-organizing genetic algorithm based tuning of PID controllers publication-title: Inf. Sci. (Ny). doi: 10.1016/j.ins.2008.11.038 – year: 1991 ident: 10.1016/j.prime.2023.100305_bib0003 article-title: X-15 contributions to the X-30 – start-page: 77 year: 2003 ident: 10.1016/j.prime.2023.100305_bib0029 article-title: Lyapunov analysis of neural network stability in an adaptive flight control system – volume: 9 start-page: 119520 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0043 article-title: Self-learning in aerial robotics using type-2 fuzzy systems: case study in hovering quadrotor flight control publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3107906 – volume: 32 start-page: 267 year: 2012 ident: 10.1016/j.prime.2023.100305_bib0046 article-title: Fault-tolerant nonlinear adaptive flight control using sliding mode online learning publication-title: Neural Networks doi: 10.1016/j.neunet.2012.02.025 – volume: 4 start-page: 68 issue: 1 year: 2015 ident: 10.1016/j.prime.2023.100305_bib0052 article-title: Solving optimization problems using black hole algorithm publication-title: J. Adv. Comput. Sci. Technol. doi: 10.14419/jacst.v4i1.4094 – volume: 13 start-page: 896 issue: 6 year: 2005 ident: 10.1016/j.prime.2023.100305_bib0030 article-title: Robust nonlinear adaptive flight control for consistent handling qualities publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2005.854345 – year: 2023 ident: 10.1016/j.prime.2023.100305_bib0020 – volume: 24 start-page: 879 year: 2014 ident: 10.1016/j.prime.2023.100305_bib0054 article-title: Optimal power flow using black-hole-based optimization approach publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.08.056 – volume: 14 start-page: 408 issue: 3 year: 2006 ident: 10.1016/j.prime.2023.100305_bib0040 article-title: Nonlinear discrete-time reconfigurable flight control law using neural networks publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2005.863662 – volume: 35 start-page: 420 issue: 3 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0039 article-title: Reinforcement learning based closed-loop reference model adaptive flight control system design publication-title: Int. J. Adapt. Control Signal Process. doi: 10.1002/acs.3181 – volume: 25 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0048 article-title: Automation intelligence photovoltaic system for power and voltage issues based on black hole optimization algorithm with FOPID publication-title: Meas. Sensors doi: 10.1016/j.measen.2022.100640 – volume: 35 start-page: 619 issue: 2 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0059 article-title: A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates publication-title: Eng. Comput. doi: 10.1007/s00366-018-0620-8 – ident: 10.1016/j.prime.2023.100305_bib0006 doi: 10.31272/jeasd.26.2.10 – volume: 12 start-page: 87 issue: 1 year: 2004 ident: 10.1016/j.prime.2023.100305_bib0034 article-title: Reconfigurable flight control system design using adaptive neural networks publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2003.821957 – volume: 76 start-page: 543 year: 2023 ident: 10.1016/j.prime.2023.100305_bib0017 article-title: A self-adjusting multi-objective control approach for quadrotors publication-title: Alexandria Eng. J. doi: 10.1016/j.aej.2023.06.050 – volume: 8 start-page: 113 issue: 2 year: 2017 ident: 10.1016/j.prime.2023.100305_bib0027 article-title: Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm publication-title: Ain Shams Eng. J. doi: 10.1016/j.asej.2015.08.003 – volume: 17 start-page: 639 year: 2019 ident: 10.1016/j.prime.2023.100305_bib0010 article-title: A modified FOPID versus H∞ and µ synthesis controllers: robustness study publication-title: Int. J. Control. Autom. Syst. doi: 10.1007/s12555-018-0033-x – volume: 222 start-page: 175 year: 2013 ident: 10.1016/j.prime.2023.100305_bib0050 article-title: Black hole: a new heuristic optimization approach for data clustering publication-title: Inf. Sci. (Ny). doi: 10.1016/j.ins.2012.08.023 – volume: 76 start-page: 455 issue: 4 year: 2004 ident: 10.1016/j.prime.2023.100305_bib0024 article-title: A novel two-mode MPPT control algorithm based on comparative study of existing algorithms publication-title: Sol. Energy doi: 10.1016/j.solener.2003.08.038 – volume: 117 year: 2021 ident: 10.1016/j.prime.2023.100305_bib0035 article-title: Robust modification of nonlinear L1 adaptive flight control system via noise attenuation publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2021.106938 – year: 2023 ident: 10.1016/j.prime.2023.100305_bib0016 article-title: Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control publication-title: Chinese J. Aeronaut. – volume: 25 start-page: 712 issue: 4 year: 2002 ident: 10.1016/j.prime.2023.100305_bib0031 article-title: Multiple-model adaptive flight control scheme for accommodation of actuator failures publication-title: J. Guid. Control. Dyn. doi: 10.2514/2.4938 |
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| Snippet | •Different optimization algorithms were assessed across 3 AFCS motions.•Five evaluation and selection criteria were weighted differently across various AFCS... Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the... |
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| SubjectTerms | Adaptive flight control system Black hole optimization FOPID controller criteria Jaya optimization algorithm Sunflower optimization |
| Title | Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values using optimization algorithms |
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