Observer-Based Fuzzy Adaptive Finite-Time Containment Control of Nonlinear Multiagent Systems With Input Delay

This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a no...

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Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 51; no. 1; pp. 126 - 137
Main Authors Li, Yongming, Qu, Fuyi, Tong, Shaocheng
Format Journal Article
LanguageEnglish
Published United States IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive algorithms
Adaptive control
Adaptive fuzzy finite-time control
backstepping technique
Computational geometry
Containment
containment control
Control methods
Control systems
Convexity
Cooperative control
Delays
Feedback control
Fuzzy control
Fuzzy logic
fuzzy state observer
Fuzzy systems
input delay
Liapunov functions
Multi-agent systems
Multiagent systems
multiagent systems (MASs)
Nonlinear control
Nonlinear systems
Observers
Output feedback
State observers
Time lag
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Abstract This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a novel distributed fuzzy state observer is proposed to obtain the unmeasured states. Under the framework of cooperative control and finite-time Lyapunov function theory, an observer-based adaptive fuzzy finite-time output-feedback containment control scheme is developed via the adaptive backstepping control design algorithm and integral compensator technique. The proposed adaptive fuzzy containment control method can ensure that the closed-loop system is stable and all followers can converge to the convex hull built by the leaders in finite time. A simulation example is provided to confirm the effectiveness of the proposed control method.
AbstractList This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a novel distributed fuzzy state observer is proposed to obtain the unmeasured states. Under the framework of cooperative control and finite-time Lyapunov function theory, an observer-based adaptive fuzzy finite-time output-feedback containment control scheme is developed via the adaptive backstepping control design algorithm and integral compensator technique. The proposed adaptive fuzzy containment control method can ensure that the closed-loop system is stable and all followers can converge to the convex hull built by the leaders in finite time. A simulation example is provided to confirm the effectiveness of the proposed control method.
This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a novel distributed fuzzy state observer is proposed to obtain the unmeasured states. Under the framework of cooperative control and finite-time Lyapunov function theory, an observer-based adaptive fuzzy finite-time output-feedback containment control scheme is developed via the adaptive backstepping control design algorithm and integral compensator technique. The proposed adaptive fuzzy containment control method can ensure that the closed-loop system is stable and all followers can converge to the convex hull built by the leaders in finite time. A simulation example is provided to confirm the effectiveness of the proposed control method.This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control design and the control input contains time delay. Fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear functions and a novel distributed fuzzy state observer is proposed to obtain the unmeasured states. Under the framework of cooperative control and finite-time Lyapunov function theory, an observer-based adaptive fuzzy finite-time output-feedback containment control scheme is developed via the adaptive backstepping control design algorithm and integral compensator technique. The proposed adaptive fuzzy containment control method can ensure that the closed-loop system is stable and all followers can converge to the convex hull built by the leaders in finite time. A simulation example is provided to confirm the effectiveness of the proposed control method.
Author Qu, Fuyi
Li, Yongming
Tong, Shaocheng
Author_xml – sequence: 1
  givenname: Yongming
  orcidid: 0000-0002-5258-2765
  surname: Li
  fullname: Li, Yongming
  email: liyongming1981@163.com
  organization: College of Science, Liaoning University of Technology, Jinzhou, China
– sequence: 2
  givenname: Fuyi
  surname: Qu
  fullname: Qu, Fuyi
  email: qfy1993@163.com
  organization: College of Science, Liaoning University of Technology, Jinzhou, China
– sequence: 3
  givenname: Shaocheng
  orcidid: 0000-0002-7366-7805
  surname: Tong
  fullname: Tong, Shaocheng
  email: jztongsc@163.com
  organization: College of Science, Liaoning University of Technology, Jinzhou, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32086232$$D View this record in MEDLINE/PubMed
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Snippet This article is concerned with the finite-time containment control problem for nonlinear multiagent systems, in which the states are not available for control...
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SubjectTerms Adaptive algorithms
Adaptive control
Adaptive fuzzy finite-time control
backstepping technique
Computational geometry
Containment
containment control
Control methods
Control systems
Convexity
Cooperative control
Delays
Feedback control
Fuzzy control
Fuzzy logic
fuzzy state observer
Fuzzy systems
input delay
Liapunov functions
Multi-agent systems
Multiagent systems
multiagent systems (MASs)
Nonlinear control
Nonlinear systems
Observers
Output feedback
State observers
Time lag
Title Observer-Based Fuzzy Adaptive Finite-Time Containment Control of Nonlinear Multiagent Systems With Input Delay
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