Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications

doi:10.1109/TCYB.2020.2985707

	Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications
	Wu, You 1; Xie, Xue-Jun 1; Hou, Zeng-Guang2
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2022-03-01
卷号	52 期号:3 页码:1671-1680
通讯作者	Xie, Xue-Jun(xuejunxie@126.com)
摘要	This article discusses the adaptive fuzzy asymptotic tracking control for high-order nonlinear time-delay systems with full-state constraints. Fuzzy-logic systems and a separation principle are utilized to relax growth assumptions imposed on unknown nonlinearities. The adverse effect caused by unknown time delays is eliminated by choosing appropriate Lyapunov-Krasovskii functionals. By integrating nonlinear-transformed functions with a key coordinate transformation into the control design and constructing a specific compact set on the initial values of system states, the desired trajectory and parameter estimates, it is rigorously proved that all closed-loop signals are semiglobally bounded, the fuzzy approximation is valid, the full-state constraints are not violated without feasibility conditions on virtual controllers, and asymptotic tracking is achieved. The effectiveness and advantages of this control scheme are confirmed by two examples including a single-link robotic system.
关键词	Adaptive fuzzy asymptotic tracking control feasibility conditions full-state constraints high-order nonlinear time-delay systems
DOI	10.1109/TCYB.2020.2985707
关键词[WOS]	BARRIER LYAPUNOV FUNCTIONS ; OUTPUT-FEEDBACK STABILIZATION ; HOMOGENEOUS DOMINATION
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFC2001700] ; Taishan Scholar Project of Shandong Province of China[ts201712040] ; National Natural Science Foundation of China[61673242]
项目资助者	National Key Research and Development Program of China ; Taishan Scholar Project of Shandong Province of China ; National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000795863600021
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：31[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/173211/49399
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Xie, Xue-Jun
作者单位	1.Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wu, You,Xie, Xue-Jun,Hou, Zeng-Guang. Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications[J]. IEEE TRANSACTIONS ON CYBERNETICS,2022,52(3):1671-1680.
APA	Wu, You,Xie, Xue-Jun,&Hou, Zeng-Guang.(2022).Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications.IEEE TRANSACTIONS ON CYBERNETICS,52(3),1671-1680.
MLA	Wu, You,et al."Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications".IEEE TRANSACTIONS ON CYBERNETICS 52.3(2022):1671-1680.