Pinning synchronization for markovian jump neural networks with uncertain impulsive effects

• DOI: 10.1016/j.neucom.2022.12.021
• Publication Date: 2022-12-14T11:46:29Z
• Authors: Yuru Guo; Zenghong Huang; Lixin Yang; Hongxia Rao; Hui Chen; Yong Xu
• Keywords: Pinning synchronization; 570; 0202 electrical engineering, electronic engineering, information engineering; Markovian jumping; Uncertain impulsive effects; 02 engineering and technology; Neural networks

This work concentrates on synchronization of neural networks (NNs) with Markovian parameters, where the Markov chain has partially unknown transition probabilities (PUTP). Due to the existence of interference and noise in practice, we combine the uncertain variable with the complex coupling term as the impulsive disturbance of NNs. A corresponding mode-dependent pinning controller is designed to reduce the control costs, and synchronization error system is also derived, whose impulsive update state is listed separately. A sufficient condition of synchronization for NNs is completed by constructing a Lyapunov functional candidate and a series of iterations. Because the disturbance should avoid being too frequent to guarantee synchronization of NNs, the allowed minimum interval h of the impulsive disturbance is derived. Finally, the correctness and the superiority of the developed result are illustrated by a numerical example.