Event-Triggered Fault-Detection Filter Using Coordinate Transformation Approach for Time-Varying Stochastic Systems

2018 ◽  
pp. 125-135
Author(s):  
Yunji Li ◽  
Li Peng ◽  
Xuefang Zhu ◽  
Wen Li
Keyword(s):  
Fault Detection ◽  
Coordinate Transformation ◽  
Stochastic Systems ◽  
Time Varying ◽  
Fault Detection Filter ◽  
Transformation Approach ◽  
Detection Filter ◽  
Event Triggered

Event-triggered fault detection filter design for uncertain stochastic systems with package dropouts

2019 ◽  
Vol 233 (10) ◽  
pp. 1351-1360 ◽  
Author(s):  
Zhaoke Ning ◽  
Jinyong Yu ◽  
Tong Wang
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Filter Design ◽  
Network Resources ◽  
Design Algorithm ◽  
Fault Detection Filter ◽  
Filter Structure ◽  
Exponentially Stable ◽  
Detection Filter ◽  
Event Triggered

In this article, the event-triggered fault detection filter design problem is concerned with uncertain stochastic systems subject to package dropouts. First, a filter structure is constructed to achieve the desired fault detection objective. Second, an integrated model with an event-triggered scheme and a Bernoulli stochastic process are employed to save the limited network resources and describe the package dropouts phenomenon, which always appears in the real network environment. A new sufficient condition is provided to ensure that the obtained residual system is mean square robustly exponentially stable and satisfies the desired detection performance. Then, a novel co-design algorithm is derived to obtain the parameters of filter and event-triggered scheme. Finally, two simulation examples are provided to verify the effectiveness of the proposed design scheme.

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