Adaptive Fuzzy Output-Feedback Consensus Tracking Control of Nonlinear Multiagent Systems in Prescribed Performance

This article addresses the finite-time consensus tracking control problem for nonlinear multiagent systems (MASs), in which state variables are unmeasured and nonlinear functions are totally unknown. An observer is designed to estimate state variables and fuzzy-logic systems are employed to approxim...

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Published inIEEE transactions on cybernetics Vol. 53; no. 3; pp. 1932 - 1943
Main Authors Zhang, Lili, Che, Wei-Wei, Chen, Bing, Lin, Chong
Format Journal Article
LanguageEnglish
Published United States IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Adaptive fuzzy consensus tracking control
barrier Lyapunov function
Closed loops
Convergence
Feedback control
Fuzzy control
Fuzzy logic
Fuzzy systems
Liapunov functions
Lyapunov methods
Multi-agent systems
Multiagent systems
Nonlinear control
nonlinear multiagent systems (MASs)
Nonlinear systems
Nonlinearity
Observers
Output feedback
prescribed performance
Process control
Protocols
Stability criteria
state observer
State variable
Tracking control
Tracking errors
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Abstract This article addresses the finite-time consensus tracking control problem for nonlinear multiagent systems (MASs), in which state variables are unmeasured and nonlinear functions are totally unknown. An observer is designed to estimate state variables and fuzzy-logic systems are employed to approximate nonlinearities. Then, an observer-based adaptive fuzzy consensus tracking controller is developed by using the backstepping technique and constructing a novel barrier Lyapunov function with the consideration of the characteristics of MASs. The proposed control protocol can guarantee that: 1) all signals in the closed-loop system keep bounded and 2) the consensus tracking error converges to a prespecified region of the origin in the prescribed finite time. Compared with the existing observer-based finite/fixed-time control protocols, the settling time and the convergence region in our work can be both preassigned by the designer and not affected by the unknown positive constant, which lies in the Lyapunov derivative inequality. Finally, two comparison simulation examples, including a numerical example and a practical example, check the availability of the designed control scheme.
AbstractList This article addresses the finite-time consensus tracking control problem for nonlinear multiagent systems (MASs), in which state variables are unmeasured and nonlinear functions are totally unknown. An observer is designed to estimate state variables and fuzzy-logic systems are employed to approximate nonlinearities. Then, an observer-based adaptive fuzzy consensus tracking controller is developed by using the backstepping technique and constructing a novel barrier Lyapunov function with the consideration of the characteristics of MASs. The proposed control protocol can guarantee that: 1) all signals in the closed-loop system keep bounded and 2) the consensus tracking error converges to a prespecified region of the origin in the prescribed finite time. Compared with the existing observer-based finite/fixed-time control protocols, the settling time and the convergence region in our work can be both preassigned by the designer and not affected by the unknown positive constant, which lies in the Lyapunov derivative inequality. Finally, two comparison simulation examples, including a numerical example and a practical example, check the availability of the designed control scheme.
Author Zhang, Lili
Lin, Chong
Chen, Bing
Che, Wei-Wei
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Snippet This article addresses the finite-time consensus tracking control problem for nonlinear multiagent systems (MASs), in which state variables are unmeasured and...
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SubjectTerms Adaptive control
Adaptive fuzzy consensus tracking control
barrier Lyapunov function
Closed loops
Convergence
Feedback control
Fuzzy control
Fuzzy logic
Fuzzy systems
Liapunov functions
Lyapunov methods
Multi-agent systems
Multiagent systems
Nonlinear control
nonlinear multiagent systems (MASs)
Nonlinear systems
Nonlinearity
Observers
Output feedback
prescribed performance
Process control
Protocols
Stability criteria
state observer
State variable
Tracking control
Tracking errors
Title Adaptive Fuzzy Output-Feedback Consensus Tracking Control of Nonlinear Multiagent Systems in Prescribed Performance
URI https://ieeexplore.ieee.org/document/9775006
https://www.ncbi.nlm.nih.gov/pubmed/35560094
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