Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 28, Issue 9, Pages 2164-2174Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2019.2931228
Keywords
Nonlinear systems; Fuzzy control; Fuzzy logic; Uncertainty; Control systems; Adaptive control; Adaptive fuzzy control; event-triggered control; finite-time stability; nonstrict-feedback nonlinear systems
Funding
- National Natural Science Foundation of China [61773327]
- Self-Planned Task of State Key Laboratory of Robotics and Systems of the Harbin Institute of Technology [SKLRS201801A03]
- NationalNatural Science Foundation of China [61873311]
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This article addresses the finite-time adaptive fuzzy control problem for a class of nonstrict-feedback uncertain nonlinear systems via an event-triggered strategy. A novel design scheme, consisting of finite-time adaptive fuzzy controller and event-triggering mechanism (ETM), is proposed to decrease the number of data transmission and the number of control actuation updates. With the proposed event-triggered adaptive fuzzy control scheme, all the solutions of the resulting closed-loop system are guaranteed to be semi-globally bounded within finite time. Moreover, the feasibility of the proposed ETM is verified by excluding Zeno behavior. In contrast to existing results on similar problems, the restrictions on nonlinearities are relaxed and the more general uncertain nonlinear systems are considered. Finally, an example is provided to illustrate our theoretical results.
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