Dissipativity Analysis for Markovian Jump Neural Networks with Time-Varying Delay via An Extended Relaxed Integral Inequality
LIN Wen-Juan, Yong Min He · 2018
This paper investigates the problem of the strictly (Q, S, R)-γ -dissipativity analysis for Markovian jump neural networks with a time-varying delay. By employing an appropriate Lyapunov-Krasovskii functional and using the extended relaxed integral inequality to estimate its derivative, a delay-dependent and mode-dependent condition that guarantee the considered Markovian jump neural networks strictly (Q, S, R)-γ -dissipative is derived. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.