Finite-Time Adaptive Fuzzy Control for Nonstrict-Feedback Nonlinear Systems Via an Event-Triggered Strategy

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Original languageEnglish
Article number8772091
Pages (from-to)2164-2174
Number of pages11
Journal / PublicationIEEE Transactions on Fuzzy Systems
Issue number9
Online published25 Jul 2019
Publication statusPublished - Sept 2020


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.

Research Area(s)

  • Adaptive fuzzy control, event-triggered control, finite-time stability, nonstrict-feedback nonlinear systems