Fuzzy Neural Pseudo Control With Prescribed Performance for Waverider Vehicles: A Fragility-Avoidance Approach

A fuzzy-neural-approximation-based pseudo nonaffine control protocol is proposed for waverider vehicles (WVs), which is capable of guaranteeing tracking errors with desired prescribed performance and rejecting the obstacle of fragility inherent to the traditional prescribed performance control (PPC)...

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Vydáno v:	IEEE transactions on cybernetics Ročník 53; číslo 8; s. 4986 - 4999
Hlavní autoři:	Bu, Xiangwei, Lv, Maolong, Lei, Humin, Cao, Jinde
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Aerodynamics Artificial neural networks Fragility Fuzzy control Fuzzy logic nonaffine dynamics prescribed performance Protocols pseudo control Robustness Tracking Tracking errors Transient analysis Uncertainty Vehicle dynamics waverider vehicles (WVs)
ISSN:	2168-2267, 2168-2275, 2168-2275
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Abstract	A fuzzy-neural-approximation-based pseudo nonaffine control protocol is proposed for waverider vehicles (WVs), which is capable of guaranteeing tracking errors with desired prescribed performance and rejecting the obstacle of fragility inherent to the traditional prescribed performance control (PPC). The pseudo control is defined to approximate the nonaffine dynamics of WVs, while there is no need of model affinization. Furthermore, fuzzy neural approximators are combined with the adaptive compensation strategy to resist both system uncertainties and external disturbances. Especially, a new type of nonfragile prescribed performance, being able to self-adjust its prescribed funnel, is proposed to remedy the fragility defect associated with the existing PPC. Finally, the realizability of the spurred prescribed performance is proved via stability proof, and the superiority of the addressed design is tested by compared simulations.
AbstractList	A fuzzy-neural-approximation-based pseudo nonaffine control protocol is proposed for waverider vehicles (WVs), which is capable of guaranteeing tracking errors with desired prescribed performance and rejecting the obstacle of fragility inherent to the traditional prescribed performance control (PPC). The pseudo control is defined to approximate the nonaffine dynamics of WVs, while there is no need of model affinization. Furthermore, fuzzy neural approximators are combined with the adaptive compensation strategy to resist both system uncertainties and external disturbances. Especially, a new type of nonfragile prescribed performance, being able to self-adjust its prescribed funnel, is proposed to remedy the fragility defect associated with the existing PPC. Finally, the realizability of the spurred prescribed performance is proved via stability proof, and the superiority of the addressed design is tested by compared simulations. A fuzzy-neural-approximation-based pseudo nonaffine control protocol is proposed for waverider vehicles (WVs), which is capable of guaranteeing tracking errors with desired prescribed performance and rejecting the obstacle of fragility inherent to the traditional prescribed performance control (PPC). The pseudo control is defined to approximate the nonaffine dynamics of WVs, while there is no need of model affinization. Furthermore, fuzzy neural approximators are combined with the adaptive compensation strategy to resist both system uncertainties and external disturbances. Especially, a new type of nonfragile prescribed performance, being able to self-adjust its prescribed funnel, is proposed to remedy the fragility defect associated with the existing PPC. Finally, the realizability of the spurred prescribed performance is proved via stability proof, and the superiority of the addressed design is tested by compared simulations.A fuzzy-neural-approximation-based pseudo nonaffine control protocol is proposed for waverider vehicles (WVs), which is capable of guaranteeing tracking errors with desired prescribed performance and rejecting the obstacle of fragility inherent to the traditional prescribed performance control (PPC). The pseudo control is defined to approximate the nonaffine dynamics of WVs, while there is no need of model affinization. Furthermore, fuzzy neural approximators are combined with the adaptive compensation strategy to resist both system uncertainties and external disturbances. Especially, a new type of nonfragile prescribed performance, being able to self-adjust its prescribed funnel, is proposed to remedy the fragility defect associated with the existing PPC. Finally, the realizability of the spurred prescribed performance is proved via stability proof, and the superiority of the addressed design is tested by compared simulations.
Author	Cao, Jinde Lei, Humin Bu, Xiangwei Lv, Maolong
Author_xml	– sequence: 1 givenname: Xiangwei orcidid: 0000-0001-5783-6659 surname: Bu fullname: Bu, Xiangwei email: buxiangwei1987@126.com organization: Air and Missile Defense College, Air Force Engineering University, Xi'an, China – sequence: 2 givenname: Maolong orcidid: 0000-0001-6406-2399 surname: Lv fullname: Lv, Maolong email: hmleinet@126.com organization: College of Air Traffic Control and Navigation, Air Force Engineering University, Xi'an, China – sequence: 3 givenname: Humin surname: Lei fullname: Lei, Humin email: maolonglv@163.com organization: Air and Missile Defense College, Air Force Engineering University, Xi'an, China – sequence: 4 givenname: Jinde orcidid: 0000-0003-3133-7119 surname: Cao fullname: Cao, Jinde email: jdcao@seu.edu.cn organization: School of Mathematics, Southeast University, Nanjing, China
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Cites_doi	10.1109/taes.2021.3068442 10.1109/TCYB.2020.3025829 10.1109/TSMC.2019.2894916 10.1109/TCYB.2019.2927309 10.1109/TSMC.2019.2911726 10.1109/TMECH.2018.2800089 10.1109/TMECH.2018.2869002 10.1109/tfuzz.2020.3031385 10.1109/tii.2022.3163573 10.1109/TCYB.2018.2857400 10.1109/TCYB.2020.3042168 10.1109/TAES.2022.3153429 10.1109/TITS.2022.3224424 10.1109/TNNLS.2017.2743784 10.1109/taes.2023.3251314 10.1109/TFUZZ.2019.2934934 10.1109/TCYB.2021.3074566 10.1109/TAES.2020.3040519 10.1109/tfuzz.2022.3217378 10.1109/tnnls.2021.3070824 10.1016/j.proeng.2011.08.078 10.1109/TCST.2020.2968868 10.1109/TNNLS.2017.2712698 10.1109/TFUZZ.2017.2756028 10.1109/TFUZZ.2020.3036706 10.1109/TFUZZ.2021.3089031 10.1109/TCYB.2020.3046316 10.1109/TSMC.2018.2837378 10.1016/j.jfranklin.2018.09.001 10.1016/j.asr.2012.10.014 10.1109/TCYB.2020.2969499 10.1109/TCYB.2017.2692767 10.1016/j.automatica.2014.02.020 10.1109/tac.2022.3147271 10.1109/jmass.2023.3242304 10.1109/TMECH.2019.2928699
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SubjectTerms	Aerodynamics Artificial neural networks Fragility Fuzzy control Fuzzy logic nonaffine dynamics prescribed performance Protocols pseudo control Robustness Tracking Tracking errors Transient analysis Uncertainty Vehicle dynamics waverider vehicles (WVs)
Title	Fuzzy Neural Pseudo Control With Prescribed Performance for Waverider Vehicles: A Fragility-Avoidance Approach
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