Title | ||
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Observer-Based Adaptive Fuzzy Tracking Control For A Class Of Strict-Feedback Systems With Event-Triggered Strategy And Tan-Type Barrier Lyapunov Function |
Abstract | ||
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In this paper, an observer-based adaptive fuzzy tracking control is considered for a class of strict-feedback nonlinear systems. The nonlinear functions and unmeasured states in the system are estimated by means of fuzzy logic systems and fuzzy state observers, respectively. In addition, the tan-type barrier Lyapunov specifies that the tracking error is limited to a given area. An improved event-triggered technique is introduced in the controller design to save the network resources and avoid the Zeno-behavior. It is proven that the proposed controller can ensure that all the signals of the closed-loop system are uniformly and ultimately bounded. Finally, the simulation results verify the feasibility of the design scheme. |
Year | DOI | Venue |
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2020 | 10.1007/s40815-020-00948-0 | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS |
Keywords | DocType | Volume |
Strict-feedback nonlinear systems, Fuzzy observer, Event-triggered control, Prescribed performance, Tan-type barrier Lyapunov function | Journal | 22 |
Issue | ISSN | Citations |
8 | 1562-2479 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chuang Gao | 1 | 20 | 5.67 |
Xin Zhou | 2 | 126 | 15.50 |
Xiaoping Liu | 3 | 933 | 84.29 |
Yonghui Yang | 4 | 14 | 6.61 |
Zhigang Li | 5 | 34 | 11.35 |