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Integral barrier Lyapunov function-based adaptive fuzzy output feedback control for nonlinear delayed systems with time-varying full-state constraints
Ye D(叶丹)1,2; Wang, Kaiyu1; Yang, Haijiao1; Zhao XG(赵新刚)3
Department机器人学研究室
Source PublicationInternational Journal of Adaptive Control and Signal Processing
ISSN0890-6327
2020
Pages1-20
Indexed BySCI ; EI
EI Accession number20203709150127
WOS IDWOS:000567791700001
Contribution Rank3
Funding OrganizationNational Natural Science Foundation of China, Grant/Award Numbers: 61773369, 61773097, U1813214 ; The LiaoNing Revitalization Talents Program, Grant/Award Number: XLYC1907035 ; The Fundamental Research Funds for the Central Universities, Grant/Award Number: N2004027
Keywordadaptive fuzzy control IBLF input saturation output-feedback time-varying full-state constraints
Abstract

In this article, an adaptive fuzzy output feedback control method is presented for nonlinear time-delay systems with time-varying full state constraints and input saturation. To overcome the problem of time-varying constraints, the integral barrier Lyapunov functions (IBLFs) integrating with dynamic surface control (DSC) are applied for the first time to keep the state from violating constraints. The effects of unknown time delays can be removed by using designed Lyapunov-Krasovskii functions (LKFs). An auxiliary design system is introduced to solve the problem of input saturation. The unknown nonlinear functions are approximated by the fuzzy logic systems (FLS), and the unmeasured states are estimated by a designed fuzzy observer. The novel controller can guarantee that all signals remain semiglobally uniformly ultimately bounded and satisfactory tracking performance is achieved. Finally, two simulation examples illustrate the effectiveness of the presented control methods. © 2020 John Wiley & Sons Ltd

Language英语
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/27636
Collection机器人学研究室
Corresponding AuthorZhao XG(赵新刚)
Affiliation1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
Recommended Citation
GB/T 7714
Ye D,Wang, Kaiyu,Yang, Haijiao,et al. Integral barrier Lyapunov function-based adaptive fuzzy output feedback control for nonlinear delayed systems with time-varying full-state constraints[J]. International Journal of Adaptive Control and Signal Processing,2020:1-20.
APA Ye D,Wang, Kaiyu,Yang, Haijiao,&Zhao XG.(2020).Integral barrier Lyapunov function-based adaptive fuzzy output feedback control for nonlinear delayed systems with time-varying full-state constraints.International Journal of Adaptive Control and Signal Processing,1-20.
MLA Ye D,et al."Integral barrier Lyapunov function-based adaptive fuzzy output feedback control for nonlinear delayed systems with time-varying full-state constraints".International Journal of Adaptive Control and Signal Processing (2020):1-20.
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