Stability Analysis for Stochastic Markovian Jumping Neural Networks with Leakage Delay
Yajun Li1, *, Xisheng Dai2, Wenping Xiao1, Like Jiao1
1 Institute of Electronics and Information Engineering, Shunde Polytechnic, Foshan, 528300, China
2 School of Electrical and Information Engineering, Guangxi University of Science and Technology, Guangxi, Liuzhou, 545006, China
The stability problem for a class of stochastic neural networks with Markovian jump parameters and leakage delay is addressed in this study. The sufficient condition to ensure an exponentially stable stochastic neural networks system is presented and proven with Lyapunov functional theory, stochastic stability technique and linear matrix inequality method. The effect of leakage delay on the stability of the neural networks system is discussed and numerical examples are provided to show the correctness and effectiveness of the research results .
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