Prescribed-time bipartite synchronisation of switched coupled neural networks via switching controllers
by Meng Tao; Xiaoyang Liu
International Journal of System Control and Information Processing (IJSCIP), Vol. 4, No. 2, 2024

Abstract: This paper is concerned with the prescribed-time bipartite synchronisation of switched coupled neural networks in signed graphs. A novel switching control method is proposed to force the coupled system into a prespecified attraction domain within a predefined time. Then, a twist controller is designed to further drive the system to its origin at another prescribed time. The dwell time of the prescribed-time control is allowed to be flexibly set based on specific task requirements, which adaptability enhances the applicability of the approach across various scenarios. The switched network topology encompasses both competitive and cooperative relationships. Finally, a simulation example is constructed to justify the theoretical results.

Online publication date: Thu, 23-May-2024

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