Asymptotic Output Tracking With Malfunctioning Actuators and Twisted/Biased Feedback

  • Zhen GAO
  • , Yongduan SONG*
  • , Changyun WEN
  • , Frank L. LEWIS
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)

Abstract

It is highly desirable yet challenging to maintain stable system operation in the presence of unexpected malfunctioning sensors and actuators arising from internal component faults and/or external malicious attacks. In this note, we investigate the reliable control problem for a class of nonlinear systems with mismatched modeling uncertainties and unknown control gain matrix as well as abnormal actuating and sensoring units. Such malfunctioning sensors and actuators not only bring about additional modeling uncertainties but also literally pollute the original control influence gain matrix, making the underlying problem further complicated. By using the backstepping-like design procedure, we present an adaptive control solution with relaxed controllability conditions, capable of achieving asymptotic stabilization under severely twisted feedback information due to malicious attacks/sensor failures. Besides a primary actuator, we also propose a strategy to use additional actuators as the backup ones to enhance system survivability, where the actuator replacement automatically and seamlessly takes place from the primary actuator to a backup one, once a severe failure at the primary actuator is detected. Numerical simulation also confirms the effectiveness and benefits of the proposed method.
Original languageEnglish
Pages (from-to)1719-1729
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume54
Issue number3
Early online date28 Nov 2023
DOIs
Publication statusPublished - Mar 2024
Externally publishedYes

Bibliographical note

This article was recommended by Associate Editor M. Basin.
Publisher Copyright:
© 2013 IEEE.

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB4701400/4701401, and in part by the National Natural Science Foundation of China under Grant 61991403, Grant 61860206008, Grant 62250710167, Grant 61860206008, Grant 61991400, and Grant 61933012.

Keywords

  • Adaptive control
  • asymptotic stabilization
  • faulttolerant control (FTC)
  • strict feedback systems

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