Event-Triggered Adaptive Fuzzy Finite-Time Output Feedback Control for Stochastic Nonlinear Systems With Input and Output Constraints

Chenyi Si, Hak-Keung Lam, Jiapeng Liu, Jinpeng Yu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
118 Downloads (Pure)

Abstract

This article focuses on the problem of designing an adaptive fuzzy event-triggered finite-time output feedback control for stochastic nonlinear systems with input and output constraints. A fuzzy observer is designed to estimate the unmeasured states. The quartic asymmetric time-varying barrier Lyapunov function is established to ensure constraint satisfaction. By utilizing the stochastic theory, finite-time command filtered backstepping method and event-triggered mechanism, a finite-time event-triggered controller is recursively designed, which can not only guarantee finite-time convergent property, but also reduce communication pressure. Meanwhile, the matter of 'explosion of complexity' is removed by introducing the finite-time command filter and the effect of filtered errors is offset by constructing error compensation signals. Moreover, an auxiliary system is introduced to handle the input constraint. Finally, the effectiveness of the theoretical results is demonstrated by the simulation example.

Original languageEnglish
Pages (from-to)3555-3566
Number of pages12
JournalIEEE Transactions on Fuzzy Systems
Volume31
Issue number10
Early online date27 Mar 2023
DOIs
Publication statusPublished - 1 Oct 2023

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