Delay-dependent filtering of Markovian jumping neural networks with mode-dependent time delays

摘要

This paper is concerned with the problem of delay-dependent L2 - L∞ filter design of Markovian jumping neural networks with mode-dependent time delays. By constructing a suitable stochastic Lyapunov functional, a delay-dependent condition is established such that the filtering error system is stochastically stable and a prescribed L2 - L∞ performance is achieved. Furthermore, it is shown that the gain matrices and the optimal L2 - L∞ performance index are obtained by solving a convex optimization problem subject to some linear matrix inequalities. An example is finally provided to demonstrate the effectiveness of the developed result.