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Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations
Jinlin Su1,2; Jianqiang Yi1,2; Zhiqiang Pu1,2
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN1063-6706
2022
Volume30Issue:4Pages:1114-1128
Corresponding AuthorPu, Zhiqiang(zhiqiang.pu@ia.ac.cn)
Abstract

This article investigates the adaptive fuzzy tracking control design for uncertain nonstrict-feedback nonlinear systems with time-varying constraints and asymmetric input saturations. It is known that time-varying output constraint, time-varying error constraints, and input saturations are commonly seen issues in many practical engineering systems due to inherent physical limitations and performance requirements. To deal with these problems and improve the convergence rate of the control system, a novel fixed-time convergent adaptive fuzzy control scheme is proposed for the considered uncertain nonlinear systems via the time-varying barrier Lyapunov function (BLF) technique. First, to deal with the unknown nonlinearities and uncertainties in the system dynamic model, fuzzy logic systems are utilized to approximate the unknown functions of the considered model. Then, the problem of asymmetric input amplitude and rate saturations is handled by constructing a unified smooth characterizing function and an innovative auxiliary design signal system. Subsequently, considering physical limitations and performance requirements, a novel time-varying BLF-based adaptive fuzzy backstepping control scheme is designed for the uncertain nonstrict-feedback nonlinear systems to realize superior tracking performances and keep the states staying in predefined time-varying compact regions during operations. Further, rigorous theoretical analyses have been conducted to show that the proposed control scheme achieves fixed-time convergence of all signals in the closed-loop control system. Finally, representative simulation results verify the effectiveness of the proposed control scheme.

KeywordAdaptive fuzzy control fixed-time control input saturation nonstrict-feedback systems time-varying constraints
DOI10.1109/TFUZZ.2021.3052610
WOS KeywordBARRIER LYAPUNOV FUNCTIONS ; NONLINEAR-SYSTEMS ; TRACKING CONTROL ; MULTIAGENT SYSTEMS ; CONTROL DESIGN ; VEHICLES
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Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61421004] ; China Scholarship Council
Funding OrganizationNational Natural Science Foundation of China ; China Scholarship Council
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000776115000022
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Sub direction classification智能控制
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47424
Collection综合信息系统研究中心_飞行器智能技术
Corresponding AuthorZhiqiang Pu
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jinlin Su,Jianqiang Yi,Zhiqiang Pu. Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations[J]. IEEE Transactions on Fuzzy Systems,2022,30(4):1114-1128.
APA Jinlin Su,Jianqiang Yi,&Zhiqiang Pu.(2022).Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations.IEEE Transactions on Fuzzy Systems,30(4),1114-1128.
MLA Jinlin Su,et al."Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations".IEEE Transactions on Fuzzy Systems 30.4(2022):1114-1128.
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