Output-Dependent Switching Laws for Quadratic Stabilization of Switched Linear Stochastic Systems

Yufang Chang, Guisheng Zhai, Lianglin Xiong, Bo Fu

研究成果: Conference contribution

抄録

We consider global quadratic stabilization in probability for switched linear stochastic systems (SLSS). Assuming that no single subsystem is globally quadratically stable in probability (GQS-P), we propose both static and dynamic output-dependent switching laws such that the entire switched system is GQS-P. In the case of static output-dependent switching, the sufficient condition is expressed by a set of matrix inequalities, while the design of dynamic output-dependent switching is based on a convex combination of subsystems and a robust Luenberger observer for each subsystem. A numerical example is provided to show effectiveness of the proposed approach.

本文言語English
ホスト出版物のタイトルProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1796-1801
ページ数6
ISBN(電子版)9781728158549
DOI
出版ステータスPublished - 2020 8
イベント32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China
継続期間: 2020 8 222020 8 24

出版物シリーズ

名前Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference32nd Chinese Control and Decision Conference, CCDC 2020
CountryChina
CityHefei
Period20/8/2220/8/24

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Automotive Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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