Passivity of Memristive BAM Neural Networks with Probabilistic and Mixed Time-Varying Delays
作者： Weiping Wang , Meiqi Wang , Xiong Luo , Lixiang Li , Wenbing Zhao
DOI: 10.1155/2018/5830160
关键词: Computer science 、 Probabilistic logic 、 Passivity 、 Bernoulli distribution 、 Bidirectional associative memory 、 Probability distribution 、 Artificial neural network 、 Control theory 、 Random variable
摘要: This paper is concerned with the passivity problem of memristive bidirectional associative memory neural networks (MBAMNNs) probabilistic and mixed time-varying delays. By applying random variables Bernoulli distribution, information probability delays taken into account. Furthermore, we consider distribution variation extent delays; therefore, results derived are less conservative than in existing papers. In particular, leakage as well distributed all consideration. Based on appropriate Lyapunov-Krasovskii functionals (LKFs) some useful inequalities, several conditions for passive performance established linear matrix inequalities (LMIs). Finally, numerical examples given to demonstrate feasibility presented theories, reveal that have an unstable influence system should not be ignored.
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