Event-Triggered Output Feedback H∞ Control for Markov-Type Networked Control Systems

Author:

Zhou Xuede12ORCID,Liu Shanshan1,Wang Yan3ORCID,Zhu Yong12

Affiliation:

1. School of Physics and Electronic Engineering, Fuyang Nornal University, Fuyang 236037, China

2. Anhui Research Center of Generic Technology in Photovoltaic Industry, Fuyang Nornal University, Fuyang 236037, China

3. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

Abstract

This paper studies the output feedback H∞ control problem of event-triggered Markov-type networked control systems. Firstly, a new Lyapunov–Krasovskii functional is constructed, which contains an event-triggered scheme, Markovian jump system, and quantified information. Secondly, the upper bound of the weak infinitesimal generation operator of the Lyapunov–Krasovskii function is estimated by combining Wirtinger’s-based integral inequality and reciprocally convex inequality. Finally, based on the Lyapunov stability theory, the closed-loop stability criterion of event-triggered Markov-type networked control systems and the design method of the output feedback H∞ controller for the disturbance attenuation level γ are given in the terms of linear matrix inequalities. The effectiveness and superiority of the proposed method are verified using three numerical examples.

Funder

Yangtze River Delta Sci-Tech innovation Community Joint Research Project

Publisher

MDPI AG

Reference35 articles.

1. New result on delay-dependent stability for Markovian jump time-delay systems with partial information on transition probabilities;Zhang;IEEE/CAA J. Autom. Sinica,2019

2. Unknown input reduced-order observer design for one-sided Lipschitz nonlinear descriptor Markovian jump Systems;Tian;Asian J. Control,2019

3. Sliding mode control for Markovian jump systems with generalized awitching;Wang;Asian J. Control,2019

4. H∞ Filter design for networked control systems: A Markovian jump system approach;Wang;Discrete Dyn. Nat. Soc.,2020

5. Tracking control of discrete-time Markovian jump systems;Tian;Int. J. Syst. Sci.,2020

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