JOURNAL ARTICLE

A dynamic event-triggeredHcontrol for singular Markov jump systems with redundant channels

Yanqian WangGuangming ZhuangFu Chen

Year: 2019 Journal:   International Journal of Systems Science Vol: 51 (1)Pages: 158-179   Publisher: Taylor & Francis

Abstract

In this paper, the problem of asynchronous $H_{\infty } $H∞ control for singular Markov jump systems with redundant channels under the dynamic event-triggered scheme is studied. To save the resource of bandwidth limited network, a dynamic event-triggered scheme is proposed. The technique of redundant channels is employed to improve the successful rate of the communication network, which are modelled as two mutually independent Bernoulli-distributed random variables. A hidden Markov model is proposed to formulate the asynchronisation phenomena between the system modes and the controller modes, which results in the fact that the closed-loop system is a singular hidden Markov jump system. The criteria of regular, causal and stochastically stable with a certain $H_{\infty } $H∞ performance for the closed-loop system are obtained. The co-design of asynchronous controllers and the dynamic event-triggered scheme is proposed in terms of a group of feasible linear matrix inequalities. A numerical example and a practical example are presented to show the effectiveness of the developed method.

Keywords:
Bernoulli's principle Control theory (sociology) Asynchronous communication Markov chain Markov process Computer science Mathematics Event (particle physics) Controller (irrigation) Jump Scheme (mathematics) Mathematical optimization Control (management) Engineering

Metrics

46
Cited By
5.45
FWCI (Field Weighted Citation Impact)
58
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
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