Event-triggered fault detection for nonlinear discrete-time switched stochastic systems: a convex function method

2021 ◽  
Vol 64 (10) ◽  
Author(s):  
Xiushan Jiang ◽  
Dongya Zhao
Keyword(s):  
Fault Detection ◽  
Convex Function ◽  
Discrete Time ◽  
Function Method ◽  
Stochastic Systems ◽  
Switched Stochastic Systems ◽  
Event Triggered

H_/H∞ fault detection filter design for discrete-time stochastic systems with limited communication

2019 ◽  
Vol 41 (13) ◽  
pp. 3808-3817 ◽  
Author(s):  
Zhaoke Ning ◽  
Jinyong Yu ◽  
Tong Wang
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Stochastic Systems ◽  
Filter Design ◽  
Design Strategy ◽  
Disturbance Attenuation ◽  
Network Resources ◽  
Limited Communication ◽  
Stochastically Stable ◽  
Disturbance Attenuation Level

This paper is concerned with the fault detection (FD) problem for discrete-time stochastic systems with limited communication. A filter structure is proposed to construct the residual model for fault detection. For the limited network resources, a novel event-triggered strategy is employed to decrease the amount of data that is transmitted from the sensor to the filter. With the consideration of stochastic model and limited network resources, a novel event-based method is designed to ensure the residual system is stochastically stable and satisfies the desired fault sensitivity level and disturbance attenuation level. Compared with the traditional FD method, the proposed design strategy can not only achieve the desired fault detection performance, but also save the limited network resources. The effectiveness of design strategy is verified by two simulation examples.

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