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
2016
发表期刊NEUROCOMPUTING
卷号171页码:815-825
文章类型Article
摘要In 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.
关键词Data-driven Control Mimo Nonlinear Systems Model Reference Control Neural Networks Virtual Reference Feedback Tuning
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2015.07.017
关键词[WOS]ITERATIVE LEARNING CONTROL ; DISCRETE-TIME-SYSTEMS ; MODEL-BASED CONTROL ; ALGORITHM ; PERTURBATION ; CONVERGENCE ; CONSTRAINTS ; PERFORMANCE ; STABILITY
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4132078) ; Early Career Development Award of SKLMCCS ; 61273140 ; 61304086 ; 61374105)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000364883900082
引用统计
被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10513
专题复杂系统管理与控制国家重点实验室_平行控制
作者单位1.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
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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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