Fuzzy Adaptive Resilient Formation Control for Nonlinear Multiagent Systems Subject to DoS Attacks

• Published in: IEEE transactions on fuzzy systems Vol. 32; no. 3; pp. 1 - 9
• Main Authors: Zhou, Haodong, Tong, Shaocheng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Artificial neural networks; Computer crime; Control methods; Denial of service attacks; Denial-of-service attack; Distributed resilient formation estimator; Formation control; Fuzzy control; Fuzzy logic; fuzzy state estimator; Fuzzy systems; Multiagent systems; Network topology; Nonlinear control; nonlinear multiagent systems; Nonlinear systems; Output feedback; Robot sensing systems; State estimation; Surface vehicles; Tracking errors

This paper investigates the fuzzy adaptive resilient formation control issue for uncertain nonlinear multiagent systems (MASs) with immeasurable states and under denial-of service (DoS) attacks. Fuzzy logic systems (FLSs) are utilized to model unknown agents, and a fuzzy state estimator is formulate...