Robust stabilization of discrete-Time switched systems with state delay and parametric uncertainty via model predictive control approach

Amin Taghieh, Farzad Hashemzadeh, Mohammad Hossein Shafiei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper is devoted to investigating the robust stabilization of a class of nonlinear switched systems with state delay and uncertainties under arbitrary switching signals. For this purpose, a robust model predictive control (RMPC) method is developed for online optimization of an infinite horizon cost function. Sufficient conditions in terms of linear matrix inequalities (LMIs) are derived to guarantee the robust stability of the closed-loop system. To reduce the computational load and the conservatism of the stability analysis, parametric uncertainties are considered. Numerical and practical examples are presented to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2019 6th International Conference on Control, Instrumentation and Automation, ICCIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158150
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event6th International Conference on Control, Instrumentation and Automation, ICCIA 2019 - Sanandaj, Iran, Islamic Republic of
Duration: 30 Oct 201931 Oct 2019

Publication series

NameProceedings - 2019 6th International Conference on Control, Instrumentation and Automation, ICCIA 2019

Conference

Conference6th International Conference on Control, Instrumentation and Automation, ICCIA 2019
Country/TerritoryIran, Islamic Republic of
CitySanandaj
Period30/10/1931/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Discrete-Time switched systems
  • model predictive control
  • parametric uncertainties
  • time-delay

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