Dynamic event-triggered and guaranteed cost asynchronous control for singular Markov jump systems against deception attacks

2020 ◽  
Author(s):  
Haotian Wang ◽  
Yanqian Wang
Keyword(s):  
Markov Jump ◽  
Markov Jump Systems ◽  
Dynamic Event ◽  
Asynchronous Control ◽  
Guaranteed Cost ◽  
Jump Systems ◽  
Event Triggered

scholarly journals Dynamic-Event-Based Fault Detection for Markov Jump Systems Under Hidden-Markov Mode Observation

2020 ◽  
Vol 24 (7) ◽  
pp. 917-924
Author(s):  
Xiaoxiao Xu ◽  
Xiongbo Wan ◽  
◽  
◽  
Keyword(s):  
Fault Detection ◽  
Hidden Markov ◽  
Linear Matrix ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Dynamic Event ◽  
Special Cases ◽  
Jump Systems ◽  
Hidden Markov Mode ◽  
Event Triggered

The fault detection (FD) problem is investigated for event-triggered discrete-time Markov jump systems (MJSs) with hidden-Markov mode observation. A dynamic-event-triggered mechanism, which includes some existing ones as special cases, is proposed to reduce unnecessary data transmissions to save network resources. Mode observation of the MJS by the FD filter (FDF) is governed by a hidden Markov process. By constructing a Markov-mode-dependent Lyapunov function, a sufficient condition in terms of linear matrix inequalities (LMIs) is obtained under which the filtering error system of the FD is stochastically stable with a prescribed H∞ performance index. The parameters of the FDF are explicitly given when these LMIs have feasible solutions. The effectiveness of the FD method is demonstrated by two numerical examples.

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