Adaptive Learning Security Control for Networked Switched Systems Subject to Resource Constraints and Attacks

• Published in: IEEE systems journal Vol. 17; no. 4; pp. 1 - 12
• Main Authors: Qi, Yiwen, Geng, Honglin, Xing, Ning
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive learning security control; Artificial neural networks; Computing costs; Constraints; Control systems; Cost function; Data transmission; Denial of service attacks; denial-of-service (DoS) attacks; Dynamic programming; Iterative methods; networked switched systems (NSSs); Neural networks; Optimal control; resilient event triggering; Switched systems; Switches; Switching

We employ the adaptive dynamic programming (ADP) approach with a resilient event-triggering mechanism to handle the optimal control problems for a switched system, which is constrained by network resources and vulnerable to denial-of-service (DoS) attacks. The proposed approach is able to guarantee...