报告题目: H∞ state estimation of stochastic memristor-based neural networks with time-varying delays

报告人：best365网页版登录官方网站 包海波 老师

时间： 3月16日下午20:00

地点：25教1802楼报告厅

摘要: In this talk, we address the problem of H∞ state estimation for a class of stochastic memristor-based neural networks with time-varying delays. Under the framework of Filippov solution, the stochastic memristor-based neural networks are transformed into systems with interval parameters. By means of Lyapunov functionals and some stochastic technique, sufficient conditions are derived to ensure that the estimation error system is asymptotically stable in the mean square with a prescribed H∞ performance. An explicit expression of the state estimator gain is given in terms of linear matrix inequalities (LMIs). Finally, numerical simulations are provided to demonstrate the efficiency of the theoretical results.

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