Full Information Control for Switched Neural Networks Subject to Fault and Disturbance

• Published in: IEEE transaction on neural networks and learning systems Vol. 34; no. 2; pp. 703 - 714
• Main Authors: Sun, Jiayue, Zhang, Huaguang, Xu, Shun, Liu, Yang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Availability; Biological neural networks; Control systems; Disturbance; Dwell time; fault; Fault tolerance; full information control; Fuzzy control; Fuzzy neural networks; Liapunov functions; Linear matrix inequalities; Mathematical analysis; Neural networks; Stability analysis; State feedback; switched; Switches; Tracking errors

The article investigates full information control problem for switched neural networks subject to fault and disturbance. First, the main objective is realizing interval stability and zero tracking error under condition that neither of the neuron states' vectors including the plant and reference...