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

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...

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Published inIEEE transactions on fuzzy systems Vol. 32; no. 3; pp. 1 - 9
Main Authors Zhou, Haodong, Tong, Shaocheng
Format Journal Article
LanguageEnglish
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
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Abstract 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 formulated to reconstruct the agents' unknown states. Too btain the unknown leader information estimation and its high-order derivatives under DoS attacks, a distributed resilient formation estimator is proposed. Based on the designed fuzzy state estimator and resilient formation estimator, a fuzzy output-feedback adaptive resilient formation control scheme is developed via backstepping control methodology. It is proved that the developed fuzzy resilient formation control scheme can guarantee the controlled nonlinear MASs are stable and formation tracking errors converge even under unknown states and DoS attacks. Finally, the proposed fuzzy adaptive resilient formation control method is applied to marine surface vehicles (MSVs), the simulation results and comparisons show the effectiveness of the presented fuzzy adaptive resilient formation control methodology.
AbstractList This article 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 are utilized to model unknown agents, and a fuzzy state estimator is formulated to reconstruct the agents' unknown states. To obtain the unknown leader information estimation and its high-order derivatives under DoS attacks, a distributed resilient formation estimator is proposed. Based on the designed fuzzy state estimator and resilient formation estimator, a fuzzy output-feedback adaptive resilient formation control scheme is developed via backstepping control methodology. It is proved that the developed fuzzy resilient formation control scheme can guarantee the controlled nonlinear MASs are stable and formation tracking errors converge even under unknown states and DoS attacks. Finally, the proposed fuzzy adaptive resilient formation control method is applied to marine surface vehicles, the simulation results and comparisons show the effectiveness of the presented fuzzy adaptive resilient formation control methodology.
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 formulated to reconstruct the agents' unknown states. Too btain the unknown leader information estimation and its high-order derivatives under DoS attacks, a distributed resilient formation estimator is proposed. Based on the designed fuzzy state estimator and resilient formation estimator, a fuzzy output-feedback adaptive resilient formation control scheme is developed via backstepping control methodology. It is proved that the developed fuzzy resilient formation control scheme can guarantee the controlled nonlinear MASs are stable and formation tracking errors converge even under unknown states and DoS attacks. Finally, the proposed fuzzy adaptive resilient formation control method is applied to marine surface vehicles (MSVs), the simulation results and comparisons show the effectiveness of the presented fuzzy adaptive resilient formation control methodology.
Author Zhou, Haodong
Tong, Shaocheng
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SubjectTerms 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
Title Fuzzy Adaptive Resilient Formation Control for Nonlinear Multiagent Systems Subject to DoS Attacks
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https://www.proquest.com/docview/2933610819
Volume 32
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