Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
Summary This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the nonlinear sandwich systems. In order...
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| Vydané v: | International journal of robust and nonlinear control Ročník 31; číslo 1; s. 148 - 165 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
10.01.2021
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| Predmet: | |
| ISSN: | 1049-8923, 1099-1239 |
| On-line prístup: | Získať plný text |
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| Abstract | Summary
This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the nonlinear sandwich systems. In order to overcome the difficulty, an auxiliary model is built to predict the estimates of inner variables by means of the output of the auxiliary model. For the purpose of employing the real‐time observed data, a cost function with dynamical data is constructed to capture on‐line information of the nonlinear sandwich system. On this basis, an auxiliary model stochastic gradient identification approach is proposed based on the gradient optimization. Moreover, an auxiliary model multiinnovation stochastic gradient estimation method is developed, which tends to enhance estimation accuracy by introducing more observed data dynamically. The numerical simulation is provided and the simulation results show that the proposed auxiliary model identification method is effective for the nonlinear sandwich systems. |
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| AbstractList | This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the nonlinear sandwich systems. In order to overcome the difficulty, an auxiliary model is built to predict the estimates of inner variables by means of the output of the auxiliary model. For the purpose of employing the real‐time observed data, a cost function with dynamical data is constructed to capture on‐line information of the nonlinear sandwich system. On this basis, an auxiliary model stochastic gradient identification approach is proposed based on the gradient optimization. Moreover, an auxiliary model multiinnovation stochastic gradient estimation method is developed, which tends to enhance estimation accuracy by introducing more observed data dynamically. The numerical simulation is provided and the simulation results show that the proposed auxiliary model identification method is effective for the nonlinear sandwich systems. Summary This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the nonlinear sandwich systems. In order to overcome the difficulty, an auxiliary model is built to predict the estimates of inner variables by means of the output of the auxiliary model. For the purpose of employing the real‐time observed data, a cost function with dynamical data is constructed to capture on‐line information of the nonlinear sandwich system. On this basis, an auxiliary model stochastic gradient identification approach is proposed based on the gradient optimization. Moreover, an auxiliary model multiinnovation stochastic gradient estimation method is developed, which tends to enhance estimation accuracy by introducing more observed data dynamically. The numerical simulation is provided and the simulation results show that the proposed auxiliary model identification method is effective for the nonlinear sandwich systems. |
| Author | Ding, Feng Yang, Erfu Xu, Ling |
| Author_xml | – sequence: 1 givenname: Ling orcidid: 0000-0002-5040-5634 surname: Xu fullname: Xu, Ling organization: Jiangnan University – sequence: 2 givenname: Feng orcidid: 0000-0002-2721-2025 surname: Ding fullname: Ding, Feng email: fding@jiangnan.edu.cn organization: Jiangnan University – sequence: 3 givenname: Erfu surname: Yang fullname: Yang, Erfu organization: University of Strathclyde |
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| Cites_doi | 10.1007/s12555-018-0843-x 10.1109/LAWP.2015.2438552 10.1016/j.automatica.2018.04.046 10.1109/TCYB.2017.2751558 10.1016/j.future.2018.05.038 10.1016/j.jfranklin.2018.08.030 10.1007/s12555-019-1005-5 10.1109/TCST.2009.2014241 10.1007/s12555-019-0115-4 10.1109/TCBB.2009.5 10.3390/math7070609 10.1016/j.automatica.2017.06.044 10.1109/9.981735 10.1049/iet-cta.2019.0578 10.1109/TVT.2019.2925903 10.1016/j.isatra.2016.12.002 10.1002/acs.2584 10.1016/j.isatra.2017.05.012 10.3934/dcdsb.2020003 10.1109/TVT.2019.2914936 10.1061/(ASCE)EY.1943-7897.0000640 10.1109/MITS.2019.2907681 10.1016/j.automatica.2014.12.045 10.1049/iet-ipr.2019.0057 10.1109/TNNLS.2019.2904952 10.3390/rs11020149 10.1007/s00034-019-01174-2 10.1016/j.jfranklin.2019.06.032 10.1063/1.5085397 10.1016/j.amc.2020.125276 10.1109/TCST.2016.2542004 10.1109/TAC.2020.2992564 10.1155/2019/7403732 10.1109/TITS.2019.2939358 10.1002/rnc.4961 10.1007/s12555-019-0191-5 10.1016/j.automatica.2019.108517 10.3390/en12112134 10.1177/0020294020909953 10.1109/ACCESS.2019.2963560 10.1109/ACCESS.2019.2951943 10.1002/rnc.4959 10.1016/j.matcom.2013.04.029 10.1109/9.793736 10.1109/TAC.2019.2957703 10.1016/j.jfranklin.2018.12.006 10.1049/iet-spr.2019.0481 10.1016/j.jfranklin.2020.03.027 10.3934/math.2020385 10.1049/cje.2017.08.024 10.1016/S0005-1098(97)00198-2 10.1039/D0RA04425C 10.1049/el.2020.0344 10.1109/JAS.2019.1911681 10.1016/j.automatica.2013.12.027 10.1002/rnc.5081 10.1016/j.automatica.2012.06.091 10.1016/j.automatica.2004.11.016 10.1109/ACCESS.2020.2987469 10.1016/j.jfranklin.2019.04.027 10.1109/TCBB.2011.140 10.1155/2020/3507910 |
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| References | 2017; 85 2019; 2019 2019; 11 2019; 12 2016; 30 1999; 44 2020; 14 2020; 56 2020; 10 2018; 88 2018; 48 2020; 18 2020; 8 2002; 47 2020; 5 2017; 70 2019; 64 2020; 53 2019; 68 2019; 356 2019; 29 2014; 50 2009; 17 2014; 97 2019; 7 2019; 6 2017; 26 2017; 25 2015; 53 2017; 67 2020; 380 2020; 39 2005; 41 2019; 109 2020; 146 2016; 15 2020; 2020 2020; 31 2020; 30 2021 2020 2021; 19 2020; 357 2018 2020; 25 2017 2016 2009; 6 2018; 94 2014 2013 2012; 48 2020; 65 2020; 21 1998; 34 2012; 9 e_1_2_9_31_1 e_1_2_9_52_1 e_1_2_9_50_1 e_1_2_9_10_1 e_1_2_9_35_1 e_1_2_9_56_1 e_1_2_9_12_1 e_1_2_9_33_1 e_1_2_9_54_1 Ding F (e_1_2_9_59_1) 2014 e_1_2_9_71_1 Ding F (e_1_2_9_4_1) 2018 Ding F (e_1_2_9_2_1) 2018 e_1_2_9_14_1 e_1_2_9_39_1 e_1_2_9_16_1 e_1_2_9_37_1 e_1_2_9_58_1 e_1_2_9_18_1 e_1_2_9_41_1 e_1_2_9_64_1 e_1_2_9_20_1 e_1_2_9_62_1 e_1_2_9_22_1 e_1_2_9_45_1 e_1_2_9_24_1 e_1_2_9_43_1 e_1_2_9_66_1 e_1_2_9_8_1 e_1_2_9_6_1 Ding F (e_1_2_9_61_1) 2016 e_1_2_9_26_1 e_1_2_9_49_1 e_1_2_9_28_1 e_1_2_9_47_1 e_1_2_9_30_1 e_1_2_9_53_1 Xu GH (e_1_2_9_68_1) 2020 e_1_2_9_51_1 e_1_2_9_72_1 e_1_2_9_34_1 e_1_2_9_57_1 e_1_2_9_13_1 e_1_2_9_32_1 e_1_2_9_55_1 e_1_2_9_70_1 Ding F (e_1_2_9_3_1) 2013 Ding F (e_1_2_9_60_1) 2017 e_1_2_9_15_1 e_1_2_9_38_1 e_1_2_9_17_1 e_1_2_9_36_1 Chen GY (e_1_2_9_11_1) 2019; 64 e_1_2_9_19_1 e_1_2_9_42_1 e_1_2_9_63_1 e_1_2_9_40_1 e_1_2_9_21_1 e_1_2_9_46_1 e_1_2_9_23_1 e_1_2_9_44_1 e_1_2_9_65_1 Zhao N (e_1_2_9_67_1) 2020 e_1_2_9_7_1 e_1_2_9_5_1 e_1_2_9_9_1 e_1_2_9_25_1 e_1_2_9_27_1 e_1_2_9_48_1 e_1_2_9_69_1 e_1_2_9_29_1 |
| References_xml | – volume: 97 start-page: 162 year: 2014 end-page: 188 article-title: Modeling the dynamic sandwich system with hysteresis using NARMAX model publication-title: Math Comput Simul – volume: 10 start-page: 26381 issue: 44 year: 2020 end-page: 26387 article-title: Effects of PEDOT:PSS:GO composite hole transport layer on the luminescence of perovskite light‐emitting diodes publication-title: RSC Adv – volume: 11 issue: 2 year: 2019 article-title: Rapid relocation method for mobile robot based on improved ORB‐SLAM2 algorithm publication-title: Remote Sens – volume: 30 start-page: 3607 issue: 9 year: 2020 end-page: 3623 article-title: Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation publication-title: Int J Robust Nonlinear Control – year: 2020 article-title: Dynamic self‐triggered controller codesign for Markov jump systems publication-title: IEEE Trans Autom Control – volume: 14 start-page: 455 issue: 7 year: 2020 end-page: 466 article-title: Recursive coupled projection algorithms for multivariable output‐error‐like systems with coloured noises publication-title: IET Signal Process – volume: 41 start-page: 459 issue: 3 year: 2005 end-page: 473 article-title: Linear approximations of nonlinear FIR systems for separable input processes publication-title: Automatica – volume: 44 start-page: 1913 issue: 10 year: 1999 end-page: 1918 article-title: Compensation of the RLS algorithm for output nonlinearities publication-title: IEEE Trans Autom Control – volume: 50 start-page: 628 issue: 2 year: 2014 end-page: 634 article-title: Identification of Wiener‐Hammerstein systems by a nonparametric separation of the best linear approximation publication-title: Automatica – volume: 47 start-page: 145 issue: 1 year: 2002 end-page: 150 article-title: Design and analysis of a hybrid control scheme for sandwich nonsmooth nonlinear systems publication-title: IEEE Trans Autom Control – volume: 70 start-page: 104 year: 2017 end-page: 115 article-title: Recursive parameter estimation for Hammerstein‐Wiener systems using modified EKF algorithm publication-title: ISA Trans – volume: 30 start-page: 93 issue: 1 year: 2016 end-page: 105 article-title: Direct identification of the linear block in Wiener system publication-title: Int J Adapt Control Signal Process – volume: 8 start-page: 74771 year: 2020 end-page: 74781 article-title: On the disturbance rejection of a piezoelectric driven nanopositioning system publication-title: IEEE Access – volume: 356 start-page: 2325 issue: 4 year: 2019 end-page: 2345 article-title: Moving horizon estimation for multirate systems with time‐varying time‐delays publication-title: J Frankl Inst – volume: 53 start-page: 225 year: 2015 end-page: 234 article-title: Structure discrimination in block‐oriented models using linear approximations: a theoretic framework publication-title: Automatica – start-page: 2020 year: 2020 article-title: Dynamic contract incentives mechanism for traffic offloading in multi‐UAV networks publication-title: Wirel Commun Mob Comput – volume: 7 issue: 7 year: 2019 article-title: Decomposition least‐squares‐based iterative identification algorithms for multivariable equation‐error autoregressive moving average systems publication-title: Mathematics – volume: 356 start-page: 10102 issue: 16 year: 2019 end-page: 10122 article-title: Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise publication-title: J Frankl Inst – volume: 6 start-page: 1116 issue: 5 year: 2019 end-page: 1126 article-title: Quadratic stabilization of switched uncertain linear systems: a convex combination approach publication-title: IEEE‐CAA J Automat Sinica – year: 2018 – year: 2020 article-title: Fixed time synchronization control for bilateral teleoperation mobile manipulator with nonholonomic constraint and time delay publication-title: IEEE Trans Circ Syst II Exp Briefs – volume: 56 start-page: 803 issue: 16 year: 2020 end-page: 806 article-title: A reliable and efficient PUF‐based cryptographic key generator using bit self‐tests publication-title: Electron Lett – year: 2014 – volume: 357 start-page: 5019 issue: 8 year: 2020 end-page: 5032 article-title: Hierarchical least squares parameter estimation algorithm for two‐input Hammerstein finite impulse response systems publication-title: J Frankl Inst – volume: 39 start-page: 307 issue: 1 year: 2020 end-page: 323 article-title: Data‐driven predictive control of Hammerstein‐Wiener systems based on subspace identification publication-title: Circuits Syst Signal Process – volume: 85 start-page: 272 year: 2017 end-page: 292 article-title: Identification of block‐oriented nonlinear systems starting from linear approximations: a survey publication-title: Automatica – volume: 29 issue: 1 year: 2019 article-title: Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high‐speed train control system publication-title: Chaos – volume: 65 start-page: 4202 issue: 10 year: 2020 end-page: 4214 article-title: Constrained subspace method for the identification of structured state‐space models publication-title: IEEE Trans Autom Control – volume: 34 start-page: 333 issue: 3 year: 1998 end-page: 338 article-title: An optimal two‐stage identification algorithm for Hammerstein‐Wiener nonlinear systems publication-title: Automatica – volume: 2020 year: 2020 article-title: U‐model‐based active disturbance rejection control for the dissolved oxygen in a wastewater treatment process publication-title: Math Probl Eng – volume: 48 start-page: 2931 issue: 11 year: 2012 end-page: 2936 article-title: Initial estimates of the linear subsystems of Wiener‐Hammerstein models publication-title: Automatica – volume: 5 start-page: 6020 issue: 6 year: 2020 end-page: 6029 article-title: Piecewise reproducing kernel‐based symmetric collocation approach for linear stationary singularly perturbed problems publication-title: AIMS Math – volume: 25 start-page: 1791 issue: 5 year: 2020 end-page: 1820 article-title: Bifurcations, ultimate boundedness and singular orbits in a unified hyperchaotic lorenz‐type system publication-title: Discrete and Continuous Dynamical Systems‐Series B – volume: 15 start-page: 218 year: 2016 end-page: 221 article-title: Dual‐band a‐sandwich radome design for airborne applications publication-title: IEEE Antennas Wirel Propagat Lett – volume: 146 issue: 1 year: 2020 article-title: Control strategy for adaptive active energy harvesting in sediment microbial fuel cells publication-title: J Energy Eng – volume: 21 start-page: 4252 issue: 10 year: 2020 end-page: 4268 article-title: An energy‐efficient train operation approach by integrating the metro timetabling and eco‐driving publication-title: IEEE Trans Intell Transp Syst – volume: 53 start-page: 899 issue: 5‐6 year: 2020 end-page: 907 article-title: Disturbance rejection control for the dissolved oxygen in a wastewater treatment process publication-title: Measur Control – volume: 14 start-page: 1502 issue: 8 year: 2020 end-page: 1508 article-title: Object detection based on RGC mask R‐CNN publication-title: IET Image Process – volume: 17 start-page: 945 issue: 4 year: 2009 end-page: 951 article-title: Recursive identification of sandwich systems with dead zone and application publication-title: IEEE Trans Control Syst Technol – volume: 18 start-page: 650 issue: 3 year: 2020 end-page: 660 article-title: The auxiliary model based hierarchical estimation algorithms for bilinear stochastic systems with colored noises publication-title: Int J Control Autom Syst – volume: 6 start-page: 410 issue: 3 year: 2009 end-page: 419 article-title: An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series publication-title: IEEE/ACM Trans Comput Biol Bioinform – year: 2016 – volume: 26 start-page: 1057 issue: 5 year: 2017 end-page: 1063 article-title: Standard analysis for transfer delay in CTCS‐3 publication-title: Chin J Electron – volume: 67 start-page: 382 year: 2017 end-page: 388 article-title: A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems publication-title: ISA Trans – volume: 7 start-page: 162036 year: 2019 end-page: 162049 article-title: A data‐driven based framework of model optimization and neural network modeling for microbial fuel cells publication-title: IEEE Access – volume: 94 start-page: 349 year: 2018 end-page: 360 article-title: An improved method for Wiener‐Hammerstein system identification based on the fractional approach publication-title: Automatica – volume: 30 start-page: 3727 year: 2020 end-page: 3752 article-title: Parameter estimation for block‐oriented nonlinear systems using the key term separation publication-title: Int J Robust Nonlinear Control – volume: 356 start-page: 5521 issue: 10 year: 2019 end-page: 5540 article-title: Particle filtering based parameter estimation for systems with output‐error type model structures publication-title: J Frankl Inst – volume: 19 year: 2021 article-title: Fixed‐time group consensus of nonlinear multi‐agent systems via pinning control publication-title: Int J Control Autom Syst – volume: 18 start-page: 780 issue: 3 year: 2020 end-page: 790 article-title: A new iterative least squares parameter estimation approach for equation‐error autoregressive systems publication-title: Int J Control Autom Syst – volume: 18 start-page: 1581 issue: 6 year: 2020 end-page: 1592 article-title: Maximum likelihood least squares based iterative estimation for a class of bilinear systems using the data filtering technique publication-title: Int J Control Autom Syst – volume: 88 start-page: 279 year: 2018 end-page: 283 article-title: Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing publication-title: Futur Gener Comput Syst – volume: 8 start-page: 8768 year: 2020 end-page: 8782 article-title: Dietary composition perception algorithm using social robot audition for Mandarin Chinese publication-title: IEEE Access – volume: 356 start-page: 1623 issue: 3 year: 2019 end-page: 1639 article-title: State space model identification of multirate processes with time‐delay using the expectation maximization publication-title: J Frankl Inst – volume: 109 year: 2019 article-title: Subspace identification of individual systems in a large‐scale heterogeneous network publication-title: Automatica – year: 2021 article-title: Design of running grades for energy‐efficient train regulation: a case study for beijing yizhuang line publication-title: IEEE Intell Transp Syst Mag – volume: 2019 year: 2019 article-title: Start‐up process modelling of sediment microbial fuel cells based on data driven publication-title: Math Probl Eng – volume: 380 year: 2020 article-title: A new kernel functions based approach for solving 1‐D interface problems publication-title: Appl Math Comput – volume: 31 start-page: 445 issue: 2 year: 2020 end-page: 451 article-title: Term selection for a class of separable nonlinear models publication-title: IEEE Trans Neural Netw Learn Syst – volume: 30 start-page: 6262 issue: 15 year: 2020 end-page: 6280 article-title: Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises publication-title: Int J Robust Nonlinear Control – volume: 9 start-page: 321 issue: 2 year: 2012 end-page: 329 article-title: A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models publication-title: IEEE/ACM Trans Comput Biol Bioinform – volume: 48 start-page: 2866 issue: 10 year: 2018 end-page: 2874 article-title: On some separated algorithms for separable nonlinear squares problems publication-title: IEEE Trans Cybern – volume: 14 start-page: 1762 issue: 13 year: 2020 end-page: 1768 article-title: Analysis of optimal performance of MIMO NCS with encoding and packet dropout constraints publication-title: IET Control Theory Appl – year: 2017 – volume: 68 start-page: 6331 issue: 7 year: 2019 end-page: 6342 article-title: Bio‐inspired speed curve optimization and sliding mode tracking control for subway trains publication-title: IEEE Trans Veh Technol – volume: 64 start-page: 526 issue: 2 year: 2019 end-page: 537 article-title: A regularized variable projection algorithm for separable nonlinear least squares problems publication-title: IEEE Trans Autom Control – volume: 68 start-page: 7544 issue: 8 year: 2019 end-page: 7551 article-title: Fault diagnosis of train plug door based on a hybrid criterion for IMFs selection and fractional wavelet package energy entropy publication-title: IEEE Trans Veh Technol – year: 2013 – volume: 25 start-page: 317 issue: 1 year: 2017 end-page: 325 article-title: Recursive identification of micropositioning stage based on sandwich model with hysteresis publication-title: IEEE Trans Control Syst Technol – volume: 12 start-page: 2134 issue: 11 year: 2019 article-title: Hybrid model predictive control strategy of supercapacitor energy storage system based on double active bridge publication-title: Energies – ident: e_1_2_9_29_1 doi: 10.1007/s12555-018-0843-x – ident: e_1_2_9_15_1 doi: 10.1109/LAWP.2015.2438552 – ident: e_1_2_9_24_1 doi: 10.1016/j.automatica.2018.04.046 – ident: e_1_2_9_36_1 doi: 10.1109/TCYB.2017.2751558 – ident: e_1_2_9_58_1 doi: 10.1016/j.future.2018.05.038 – ident: e_1_2_9_32_1 doi: 10.1016/j.jfranklin.2018.08.030 – ident: e_1_2_9_48_1 doi: 10.1007/s12555-019-1005-5 – ident: e_1_2_9_18_1 doi: 10.1109/TCST.2009.2014241 – ident: e_1_2_9_42_1 doi: 10.1007/s12555-019-0115-4 – start-page: 2020 year: 2020 ident: e_1_2_9_67_1 article-title: Dynamic contract incentives mechanism for traffic offloading in multi‐UAV networks publication-title: Wirel Commun Mob Comput – ident: e_1_2_9_13_1 doi: 10.1109/TCBB.2009.5 – ident: e_1_2_9_28_1 doi: 10.3390/math7070609 – ident: e_1_2_9_5_1 doi: 10.1016/j.automatica.2017.06.044 – volume-title: System Identification ‐ Iterative Search Principle and Identification Methods year: 2018 ident: e_1_2_9_4_1 – ident: e_1_2_9_17_1 doi: 10.1109/9.981735 – ident: e_1_2_9_47_1 doi: 10.1049/iet-cta.2019.0578 – ident: e_1_2_9_55_1 doi: 10.1109/TVT.2019.2925903 – ident: e_1_2_9_21_1 doi: 10.1016/j.isatra.2016.12.002 – ident: e_1_2_9_6_1 doi: 10.1002/acs.2584 – ident: e_1_2_9_20_1 doi: 10.1016/j.isatra.2017.05.012 – ident: e_1_2_9_8_1 doi: 10.3934/dcdsb.2020003 – ident: e_1_2_9_54_1 doi: 10.1109/TVT.2019.2914936 – volume: 64 start-page: 526 issue: 2 year: 2019 ident: e_1_2_9_11_1 article-title: A regularized variable projection algorithm for separable nonlinear least squares problems publication-title: IEEE Trans Autom Control – volume-title: System Identification ‐ Auxiliary Model Identification Idea and Methods year: 2017 ident: e_1_2_9_60_1 – ident: e_1_2_9_51_1 doi: 10.1061/(ASCE)EY.1943-7897.0000640 – ident: e_1_2_9_53_1 doi: 10.1109/MITS.2019.2907681 – ident: e_1_2_9_10_1 doi: 10.1016/j.automatica.2014.12.045 – ident: e_1_2_9_66_1 doi: 10.1049/iet-ipr.2019.0057 – ident: e_1_2_9_12_1 doi: 10.1109/TNNLS.2019.2904952 – ident: e_1_2_9_71_1 doi: 10.3390/rs11020149 – ident: e_1_2_9_9_1 doi: 10.1007/s00034-019-01174-2 – ident: e_1_2_9_35_1 doi: 10.1016/j.jfranklin.2019.06.032 – ident: e_1_2_9_56_1 doi: 10.1063/1.5085397 – volume-title: System Identification ‐ Multi‐Innovation Identification Theory and Methods year: 2016 ident: e_1_2_9_61_1 – ident: e_1_2_9_62_1 doi: 10.1016/j.amc.2020.125276 – volume-title: Modern Control Theory. Tsinghua year: 2018 ident: e_1_2_9_2_1 – ident: e_1_2_9_16_1 doi: 10.1109/TCST.2016.2542004 – ident: e_1_2_9_46_1 doi: 10.1109/TAC.2020.2992564 – ident: e_1_2_9_49_1 doi: 10.1155/2019/7403732 – ident: e_1_2_9_52_1 doi: 10.1109/TITS.2019.2939358 – ident: e_1_2_9_37_1 doi: 10.1002/rnc.4961 – ident: e_1_2_9_30_1 doi: 10.1007/s12555-019-0191-5 – ident: e_1_2_9_39_1 doi: 10.1016/j.automatica.2019.108517 – ident: e_1_2_9_65_1 doi: 10.3390/en12112134 – ident: e_1_2_9_44_1 doi: 10.1177/0020294020909953 – ident: e_1_2_9_72_1 doi: 10.1109/ACCESS.2019.2963560 – ident: e_1_2_9_50_1 doi: 10.1109/ACCESS.2019.2951943 – volume-title: System Identification ‐ Performances Analysis for Identification Methods year: 2014 ident: e_1_2_9_59_1 – ident: e_1_2_9_34_1 doi: 10.1002/rnc.4959 – volume-title: System Identification ‐New Theory and Methods year: 2013 ident: e_1_2_9_3_1 – year: 2020 ident: e_1_2_9_68_1 article-title: Fixed time synchronization control for bilateral teleoperation mobile manipulator with nonholonomic constraint and time delay publication-title: IEEE Trans Circ Syst II Exp Briefs – ident: e_1_2_9_19_1 doi: 10.1016/j.matcom.2013.04.029 – ident: e_1_2_9_26_1 doi: 10.1109/9.793736 – ident: e_1_2_9_40_1 doi: 10.1109/TAC.2019.2957703 – ident: e_1_2_9_33_1 doi: 10.1016/j.jfranklin.2018.12.006 – ident: e_1_2_9_31_1 doi: 10.1049/iet-spr.2019.0481 – ident: e_1_2_9_38_1 doi: 10.1016/j.jfranklin.2020.03.027 – ident: e_1_2_9_63_1 doi: 10.3934/math.2020385 – ident: e_1_2_9_57_1 doi: 10.1049/cje.2017.08.024 – ident: e_1_2_9_27_1 doi: 10.1016/S0005-1098(97)00198-2 – ident: e_1_2_9_69_1 doi: 10.1039/D0RA04425C – ident: e_1_2_9_70_1 doi: 10.1049/el.2020.0344 – ident: e_1_2_9_64_1 doi: 10.1109/JAS.2019.1911681 – ident: e_1_2_9_25_1 doi: 10.1016/j.automatica.2013.12.027 – ident: e_1_2_9_7_1 doi: 10.1002/rnc.5081 – ident: e_1_2_9_23_1 doi: 10.1016/j.automatica.2012.06.091 – ident: e_1_2_9_22_1 doi: 10.1016/j.automatica.2004.11.016 – ident: e_1_2_9_43_1 doi: 10.1109/ACCESS.2020.2987469 – ident: e_1_2_9_41_1 doi: 10.1016/j.jfranklin.2019.04.027 – ident: e_1_2_9_14_1 doi: 10.1109/TCBB.2011.140 – ident: e_1_2_9_45_1 doi: 10.1155/2020/3507910 |
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This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which... This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be... |
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| SubjectTerms | auxiliary model multiinnovation nonlinear system parameter estimation sandwich system |
| Title | Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems |
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