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A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback
Yang, Yongliang1; Tang, Liqiang1; Zou, Wencheng2; Ding, Da Wei1; Ahn, Choon Ki3
2022-09-01
Source PublicationInformation Sciences
ISSN0020-0255
Volume611Pages:628-648
Abstract

Although conventional dynamic surface filters can eliminate the issue of complexity explosion in backstepping design, the convergence of filter errors significantly influences the overall control performance. This paper proposes a unified design framework of an event-triggered adaptive fuzzy design scheme with fixed-time performance for unmodeled strict-feedback nonlinear systems, where the tracking performance, filter error, and parameter learning convergence are considered simultaneously. The unified framework guarantees the smoothness of all the closed-loop signals. A novel dynamic surface filter is designed to avoid the repeated differentiation of recursive virtual control while the filter error converges in fixed time. Compared with the conventional backstepping design, the proposed adaptive fuzzy controller design in this paper can guarantee fixed-time tracking performance. An event-triggered condition with intermittent feedback is developed to decrease the computational and communication burden. Two simulation examples are provided to validate the effectiveness of the unified fixed-time framework.

KeywordDynamic Surface Control Event-triggered Control Fixed-time Convergence Fuzzy Logic System Unmodeled Dynamics
DOI10.1016/j.ins.2022.08.052
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000854447700001
Scopus ID2-s2.0-85137176285
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorYang, Yongliang; Ahn, Choon Ki
Affiliation1.Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China
2.State Key Laborotary of Internet of Things and Smart City, Faculty of Science and Technology, University of Macau, Taipa, Macau, 999078, China
3.School of Electrical Engineering, Korea University, Seoul, 136-701, South Korea
Recommended Citation
GB/T 7714
Yang, Yongliang,Tang, Liqiang,Zou, Wencheng,et al. A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback[J]. Information Sciences,2022,611:628-648.
APA Yang, Yongliang,Tang, Liqiang,Zou, Wencheng,Ding, Da Wei,&Ahn, Choon Ki.(2022).A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback.Information Sciences,611,628-648.
MLA Yang, Yongliang,et al."A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback".Information Sciences 611(2022):628-648.
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