Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time

doi:10.1109/TNNLS.2018.2876352

	Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time
	Sui, Shuai 2,3; Chen, C. L. Philip 1,3,4; Tong, Shaocheng 2
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2019-07-01
卷号	30 期号:7 页码:2153-2162
关键词	Common Lyapunov function finite time non-triangular structure switched systems
ISSN号	2162-237X
DOI	10.1109/TNNLS.2018.2876352
通讯作者	Chen, C. L. Philip(philip.chen@ieee.org)
英文摘要	This paper solves the finite-time switching control issue for the nonstrict-feedhack nonlinear switched systems. The controlled plants contain immeasurable states, arbitrarily switchings, and the unknown functions which are constructed with the whole states. Neural network is used to simulate the uncertain systems and a filter-based state observer is designed to estimate the immeasurable states in this paper, respectively. Based on the backstepping recursive technique and the common Lyapunov function method, a finite-time switching control method is presented. Due to the developed finite-time control strategy, the closed-loop signals can he ensured to be bounded under arbitrarily switchings, and the outputs of systems can quickly track the desired reference signals in finite time. The effectiveness of the proposed method is given through its application to a massspring-damper system.
资助项目	National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61773188] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61751205] ; Macao Science and Technology Development Fund[079/2017/A2] ; Macao Science and Technology Development Fund[024/2015/AMJ] ; Macao Science and Technology Development Fund[019/2015/A1] ; University of Macau
WOS关键词	TRACKING CONTROL ; ADAPTIVE STABILIZATION ; DELAY SYSTEMS
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000472605500018
资助机构	National Natural Science Foundation of China ; Macao Science and Technology Development Fund ; University of Macau
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27851]
专题	中国科学院自动化研究所
通讯作者	Chen, C. L. Philip
作者单位	1.Dalian Maritime Univ, Dalian 116026, Peoples R China 2.Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China 3.Univ Macau, Dept Comp & Informat Sci, Macau 999078, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Sui, Shuai,Chen, C. L. Philip,Tong, Shaocheng. Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(7):2153-2162.
APA	Sui, Shuai,Chen, C. L. Philip,&Tong, Shaocheng.(2019).Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,30(7),2153-2162.
MLA	Sui, Shuai,et al."Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 30.7(2019):2153-2162.