Network‐based robust event‐triggered control for continuous‐time uncertain semi‐Markov jump systems

2020 ◽  
Vol 31 (1) ◽  
pp. 306-323
Author(s):  
Linchuang Zhang ◽  
Yonghui Sun ◽  
Yingnan Pan ◽  
Dongchen Hou ◽  
Sen Wang
Keyword(s):  
Continuous Time ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Jump Systems ◽  
Event Triggered

scholarly journals Hybrid Event-Triggered Filtering for Nonlinear Markov Jump Systems With Stochastic Cyber-Attacks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 248-258
Author(s):  
Wenqian Xie ◽  
Yong Zeng ◽  
Kaibo Shi ◽  
Xin Wang ◽  
Qianhua Fu
Keyword(s):  
Cyber Attacks ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Jump Systems ◽  
Event Triggered ◽  
Hybrid Event

An event-triggered approach to finite-time observer-based control for Markov jump systems with repeated scalar nonlinearities

2017 ◽  
Vol 40 (9) ◽  
pp. 2789-2797 ◽  
Author(s):  
Jingyu Li ◽  
Liang Shen ◽  
Fengqi Yao ◽  
Huanyu Zhao ◽  
Jing Wang
Keyword(s):  
Finite Time ◽  
Design Method ◽  
Function Technique ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Diagonally Dominant Matrix ◽  
Error System ◽  
Dominant Matrix ◽  
Jump Systems ◽  
Event Triggered

This paper studies the issue of finite-time observer-based control via an event-triggered scheme for Markov jump repeated scalar nonlinear systems. An observer-based controller via an event-triggered scheme is proposed, which can save the limited network communication bandwidth effectively, so that the resulting error system is stochastically finite-time bounded. Based on the positive definite diagonally dominant matrix and the Lyapunov function technique, a sufficient condition is presented for the solvability of the addressed problem, and the desired observer-based controller can be constructed via a convex optimization problem. In the end, a simulation example is employed to show the validity and practicability of the proposed design method.

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