Fault Detection for Neural Networks with Time Delays and Markov Jump Parameters
Wenjuan Lin, Jinpeng Yu · 2022 13th Asian Control Conference (ASCC) · 2022
This paper focuses on the fault detection (FD) problem of neural networks (NNs) with time-varying delays and Markov jump parameters. The aim is to detect potential faults of the considered NNs by designing a suitable filter. With the aid of Lyapunov functional method, sufficient conditions that ensure the residual system to be asymptotically stable with a desired H∞performance are proposed firstly. And then, by solving a series of feasible linear matrix inequalities (LMIs), the FD filter is designed. Finally, the effectiveness of the designed FD filter is verified through a numerical example.