Markovian忆阻二阶BAM神经网络的非脆弱指数状态估计

Non-fragile Exponential State Estimation for Markovian Memristive Second-order BAM Neural Networks

本文研究了时变时滞Markovian忆阻二阶BAM神经网络的非脆弱指数状态估计问题.不同于现有文献中的降阶方法,本文利用Lyapunov泛函方法和不等式技巧,结合Barbalat引理,直接从模型自身来考虑非脆弱指数状态估计,建立了确定估计器存在的充分判据.最后给出一个实例检验了结果的有效性.

The issue of non-fragile exponential state estimation(NFESE)for Markovian memristive secondorder BAM neural networks with time-varying delays is studied in this paper.Different from the reducedorder methods in the existing literature,this paper considers the NFESE directly from the model itself and establishes a sufficient criterion for determining the esistence of the estimator based on Lyapunov functional approach,inequality techniques,and Barbalat Lemma.Finally,an example is given to test the validity of the result.