Finite-frequency fault estimation and accommodation for continuous-time Markov jump linear systems with imprecise statistics of modes transitions

Nuo Xu, Yanzheng Zhu, Rongni Yang, Xinkai Chen, Chun Yi Su, Yan Shi

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the issues of both fault estimation and accommodation are studied for a class of continuous-time Markov jump linear systems under actuator fault, sensor fault and external disturbance in the framework of finite frequency domain. The imprecise statistic of modes transitions are considered here, which means that the transition rates are uncertain. Firstly, the sensor fault is defined as a new state, and then an adaptive observer is developed to estimate the actuator fault and the newly defined state with the aid of the descriptor system approach. By using the obtained fault estimation, a novel fault accommodation scheme is proposed based on the sample point controller design approach to satisfy the stochastic stability requirement of the closed-loop system with a prescribed H performance bound. Moreover, for the convenience of design, the presented sample point controller design is successfully transformed into resolving a class of input-delay control issues. Finally, two numerical examples, including a practical F-404 aircraft engine system, are illustrated to show the effectiveness and applicability of the developed design methods.

Original languageEnglish
Pages (from-to)594-608
Number of pages15
JournalInformation Sciences
Volume585
DOIs
Publication statusPublished - 2022 Mar

Keywords

  • Adaptive observer
  • F-404 aircraft engine system
  • Fault-tolerant control
  • Finite frequency domain
  • Markov jump linear systems
  • Sample point controller

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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