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Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks
Yan, Pengfei1; Liu, Derong2; Wang, Ding1; Ma, Hongwen1
Source PublicationNEUROCOMPUTING
2016
Volume171Pages:815-825
SubtypeArticle
AbstractIn this paper, we develop a novel data-driven multivariate nonlinear controller design method for multi-input-multi-output (MIMO) nonlinear systems via virtual reference feedback tuning (VRFT) and neural networks. To the best of authors' knowledge, it is the first time to introduce VRFT to MIMO nonlinear systems in theory. Unlike the standard VRFT for linear systems, we restate the model reference control problem with time-domain model in the absence of transfer functions and simplify the objective function of VRFF without a linear filter. Then, we prove that the objective function of VRFT reaches the minimum at the same point as the optimization problem of model reference control and give the relationship between the bounds of the two optimization problems of model reference control and VRFT. A three-layer neural network is used to implement the developed method. Finally, two simulations are conducted to verify the validity of our method. (C) 2015 Elsevier B.V. All rights reserved.
KeywordData-driven Control Mimo Nonlinear Systems Model Reference Control Neural Networks Virtual Reference Feedback Tuning
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2015.07.017
WOS KeywordITERATIVE LEARNING CONTROL ; DISCRETE-TIME-SYSTEMS ; MODEL-BASED CONTROL ; ALGORITHM ; PERTURBATION ; CONVERGENCE ; CONSTRAINTS ; PERFORMANCE ; STABILITY
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304086 ; 61374105)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000364883900082
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10513
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
Recommended Citation
GB/T 7714
Yan, Pengfei,Liu, Derong,Wang, Ding,et al. Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks[J]. NEUROCOMPUTING,2016,171:815-825.
APA Yan, Pengfei,Liu, Derong,Wang, Ding,&Ma, Hongwen.(2016).Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks.NEUROCOMPUTING,171,815-825.
MLA Yan, Pengfei,et al."Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks".NEUROCOMPUTING 171(2016):815-825.
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