Intermittent Sampled-Data Control for Local Stabilization of Neural Networks Subject to Actuator Saturation: A Work-Interval-Dependent Functional Approach

• Published in: IEEE transaction on neural networks and learning systems Vol. 35; no. 1; pp. 1087 - 1097
• Main Authors: Ni, Yanyan, Wang, Zhen, Huang, Xia, Ma, Qian, Shen, Hao
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuator saturation; Actuators; Artificial neural networks; Closed loop systems; Closed loops; Control systems; Feedback control; intermittent sampled-data control (ISC); Linear matrix inequalities; local stabilization; Lyapunov functional; Neural networks; neural networks (NNs); Nonlinear systems; Stability criteria; Stabilization; Symmetric matrices; Synchronization

This article is concerned with the local stabilization of neural networks (NNs) under intermittent sampled-data control (ISC) subject to actuator saturation. The issue is presented for two reasons: 1) the control input and the network bandwidth are always limited in practical engineering application...