Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems

doi:10.1016/j.neunet.2017.09.005

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems
	Wang, Ding1,2 ; Liu, Derong 3; Zhang, Yun 3; Li, Hongyi 3
发表期刊	NEURAL NETWORKS
	2018
卷号	97 页码:11-18
文章类型	Article
摘要	In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for nonlinear systems involving matched uncertainties. The augmented system considering the tracking error and the reference trajectory is formulated and then addressed under adaptive critic optimal control formulation, where the initial stabilizing controller is not needed. The approximate control law is derived via solving the Hamilton-Jacobi-Bellman equation related to the nominal augmented system, followed by closed-loop stability analysis. The robust tracking control performance is guaranteed theoretically via Lyapunov approach and also verified through simulation illustration. (C) 2017 Elsevier Ltd. All rights reserved.
关键词	Adaptive Critic Designs Dynamical Uncertainty Learning Systems Neural Networks Optimal Control Robust Tracking Control
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI	10.1016/j.neunet.2017.09.005
关键词[WOS]	DESIGN
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(U1501251 ; Beijing Natural Science Foundation(4162065) ; Early Career Development Award of SKLMCCS ; 61773373 ; 61533017 ; 61233001)
WOS研究方向	Computer Science ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号	WOS:000416454000003
引用统计	被引频次：45[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/173211/21918
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, 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	Wang, Ding,Liu, Derong,Zhang, Yun,et al. Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems[J]. NEURAL NETWORKS,2018,97:11-18.
APA	Wang, Ding,Liu, Derong,Zhang, Yun,&Li, Hongyi.(2018).Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.NEURAL NETWORKS,97,11-18.
MLA	Wang, Ding,et al."Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems".NEURAL NETWORKS 97(2018):11-18.