Mixed H∞/passive synchronization for persistent dwell-time switched neural networks via an activation function dividing method

Xiaomin Wang, Feng Li, Xingliu Hu and Jing Wang

Applied Mathematics and Computation, 2023, vol. 442, issue C

Abstract: The mixed H∞/passive synchronization issue of discrete-time switched neural networks is studied in this paper. In order to regulate the switching between subsystems, the persistent dwell-time switching law is adopted. The paper aims to design a suitable synchronization controller to make the synchronization error system satisfy the mixed H∞/passive performance and achieve global uniform exponential stability. By employing Lyapunov stability theory, performance analysis criteria and the synchronization controller design method are given, in which an activation function dividing method is employed to reduce their conservatism. Simulation results demonstrate the superiority and effectiveness of the method.

Keywords: Activation function dividing method; Persistent dwell-time switching law; H∞/passive synchronization; Switched neural networks (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:442:y:2023:i:c:s009630032200786x

DOI: 10.1016/j.amc.2022.127718

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