Home > Research > Publications & Outputs > Adaptive Event-Triggered Control for Nonlinear ...

Electronic data

  • AETC_TAC22

    Rights statement: ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 1.01 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Text available via DOI:

View graph of relations

Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
  • Ziwei Wang
  • Hak-Keung Lam
  • Yao Guo
  • Bo Xiao
  • Yanan Li
  • Xiaojie Su
  • Eric Yeatman
  • Etienne Burdet
Close
<mark>Journal publication date</mark>29/07/2022
<mark>Journal</mark>IEEE Transactions on Automatic Control
Number of pages8
Pages (from-to)1-8
Publication StatusE-pub ahead of print
Early online date29/07/22
<mark>Original language</mark>English

Abstract

Finite/Fixed-time control yields a promising tool to optimize a system&#x0027;s settling time, but lacks the ability to separately define the settling time and the convergence domain (known as <italic>practically prescribed-time stability</italic>, PPTS). We provide a sufficient condition for PPTS based on a new piecewise exponential function, which decouples the settling time and convergence domain into separately user-defined parameters. We propose an adaptive event-triggered prescribed-time control scheme for nonlinear systems with asymmetric output constraints, using an exponential-type barrier Lyapunov function. We show that this PPTS control scheme can guarantee tracking error convergence performance, while restricting the output state according to the prescribed asymmetric constraints. Compared with traditional finite/fixed-time control, the proposed methodology yields separately user-defined settling time and convergence domain without the prior information on disturbance. Moreover, asymmetric state constraints can be handled in the control structure through bias state transformation, which offers an intuitive analysis technique for general constraint issues. Simulation and experiment results on a heterogeneous teleoperation system demonstrate the merits of the proposed control scheme.

Bibliographic note

©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.