Aperiodic Sampled-Data Control for Stabilization of Memristive Neural Networks With Actuator Saturation: A Dynamic Partitioning Method

• Published in: IEEE transactions on cybernetics Vol. 53; no. 3; pp. 1725 - 1737
• Main Authors: Yan, Zhilian, Huang, Xia, Liang, Jinling
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuator saturation; Actuators; aperiodic sampled-data control (SDC); Artificial neural networks; Asymptotic stability; Closed loop systems; Closed loops; Control systems design; Delays; Dynamic stability; Feedback control; Linear matrix inequalities; local stabilization; Mathematical analysis; memristive neural networks (MNNs); Neural networks; Optimization; Partitioning; Sampling; Saturation; Stability analysis; Stability criteria; Symmetric matrices; Thermal stability; Time dependence; two-side looped functional (TSLF); Upper bounds

This article is concerned with the local stabilization of memristive neural networks subject to actuator saturation via aperiodic sampled-data control. A dynamic partitioning point is elegantly introduced, which is placed between the latest sampling instant and the present time to utilize more infor...