Finite-time dissipative control for bidirectional associative memory neural networks with state-dependent switching and time-varying delays

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摘要

This paper focuses on finite-time exponential dissipative analysis and control problems for bidirectional associative memory neural networks (BAMNNs) with state-dependent switching and time-varying delays. Firstly, the state-dependent switching parameters of BAMNNs are interpreted as interval parameters by the interval matrix method instead of differential inclusion theory and set-value map. Under the framework of Filippov’s solution and differential inclusions, some sufficient conditions of finite-time bounded (FTB) and finite-time exponential dissipative (FTED) for BAMNNs are obtained based on Lyapunov–Krasovskii functional (LKF) and some inequality techniques. Then, the finite-time dissipative PI controllers are designed by solving linear matrix inequality (LMI). Finally, a numerical example is given to illustrate the correctness of the proposed results and the effectiveness of the designed controllers.

论文关键词:Finite-time dissipative,BAM neural networks,State-dependent switching,Time-varying delays,Interval matrix method

论文评审过程:Received 1 April 2022, Revised 23 June 2022, Accepted 24 June 2022, Available online 3 July 2022, Version of Record 6 July 2022.

论文官网地址:https://doi.org/10.1016/j.knosys.2022.109338