Event-Triggered Adaptive Fuzzy Output-Feedback Control for Nonstrict-Feedback Nonlinear Systems With Asymmetric Output Constraint

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Original languageEnglish
Article number9019851
Pages (from-to)712-722
Number of pages11
Journal / PublicationIEEE Transactions on Cybernetics
Issue number1
Online published2 Mar 2020
Publication statusPublished - Jan 2022


This article addresses the event-triggered adaptive fuzzy output-feedback control problem for a class of nonstrict-feedback nonlinear systems with asymmetric and time-varyingoutput constraints, as well as unknown nonlinear functions. By designing a linear observer to estimate the unmeasurable states,a novel event-triggered adaptive fuzzy output-feedback controls cheme is proposed. The barrier Lyapunov function (BLF) and the error transformation technique are used to handle the output constraint under a completely unknown initial tracking condition. It is shown that with the proposed control scheme, all the solutions of the closed-loop system are semiglobally bounded, and the tracking error converges to a small set near zero, while the output constraint is satisfied within a predetermined finite time,even when the constraint condition is violated initially. Moreover,with the proposed event-triggering mechanism (ETM), the Zeno behavior can be strictly ruled out. An example is finally provided to demonstrate the effectiveness of the proposed control method.

Research Area(s)

  • Adaptive fuzzy control, barrier Lyapunov function (BLF), event-triggered control, nonstrict-feedback nonlinear systems

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