Dynamics of fuzzy impulsive bidirectional associative memory neural networks with time-varying delays
作者： R. Rakkiyappan , Xiaodi Li , Donal O’Regan
DOI: 10.1007/S12190-012-0554-Z
关键词: Mathematics 、 Fuzzy logic 、 Artificial neural network 、 Control theory 、 Nonlinear system 、 Linear matrix inequality 、 Exponential stability 、 Bidirectional associative memory 、 Set (abstract data type) 、 Fuzzy set
摘要: Complex nonlinear systems can be represented to a set of linear sub-models by using fuzzy sets and reasoning via ordinary Takagi-Sugeno (TS) models. In this paper, the exponential stability TS bidirectional associative memory (BAM) neural networks with impulsive effect time-varying delays is investigated. The model BAM established as modified new in which consequent parts are composed delays. Further for presented utilizing Lyapunov-Krasovskii functional matrix inequality (LMI) technique without tuning any parameters. addition, an example provided illustrate applicability result LMI control toolbox MATLAB.
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