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 | |
发表期刊 | NEUROCOMPUTING |
2016 | |
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 |
DOI | 10.1016/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 | |
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_复杂系统智能机理与平行控制团队 |
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 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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