Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator Faults

This paper investigates the leader-following consensus control problem for a class of nonlinear multiagent systems subject to sensor and actuator faults under a fixed directed graph. First, a fault compensation mechanism is proposed because of multiple faults wherein the adaptive parameters substitu...

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Published inIEEE transactions on circuits and systems. I, Regular papers Vol. 69; no. 10; pp. 4203 - 4214
Main Authors Wang, Xin, Zhou, Yuhao, Huang, Tingwen, Chakrabarti, Prasun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Actuators
Adaptive control
Adaptive systems
Circuit faults
Consensus control
Event-triggered
Fault tolerance
Fault tolerant systems
Faults
Feedback control
Graph theory
leader-following consensus
Multi-agent systems
Multiagent systems
Neural networks
Nonlinear systems
sensor and actuator faults
State observers
Online AccessGet full text
ISSN1549-8328
1558-0806
DOI10.1109/TCSI.2022.3192046

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Abstract This paper investigates the leader-following consensus control problem for a class of nonlinear multiagent systems subject to sensor and actuator faults under a fixed directed graph. First, a fault compensation mechanism is proposed because of multiple faults wherein the adaptive parameters substitute the fault coefficients. Then, the command filtering method is employed to avoid the burst of complexity rendered by the duplicative differentiation of the virtual control signal. Furthermore, the neural networks-based state observers are designed to reconstruct the unmeasurable states of the nonlinear multiagent systems. According to the given design approach, a switching threshold-based event-triggered adaptive fault-tolerant control strategy is developed and ensures all the signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, the simulation result is provided to demonstrate the validity of the presented method.
AbstractList This paper investigates the leader-following consensus control problem for a class of nonlinear multiagent systems subject to sensor and actuator faults under a fixed directed graph. First, a fault compensation mechanism is proposed because of multiple faults wherein the adaptive parameters substitute the fault coefficients. Then, the command filtering method is employed to avoid the burst of complexity rendered by the duplicative differentiation of the virtual control signal. Furthermore, the neural networks-based state observers are designed to reconstruct the unmeasurable states of the nonlinear multiagent systems. According to the given design approach, a switching threshold-based event-triggered adaptive fault-tolerant control strategy is developed and ensures all the signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, the simulation result is provided to demonstrate the validity of the presented method.
Author Chakrabarti, Prasun
Huang, Tingwen
Wang, Xin
Zhou, Yuhao
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  givenname: Yuhao
  surname: Zhou
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  surname: Huang
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  organization: Texas A&M University at Qatar, Doha, Qatar
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  givenname: Prasun
  orcidid: 0000-0001-8062-4144
  surname: Chakrabarti
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  organization: ITM (SLS) Baroda University, Vadodara, Gujarat, India
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Snippet This paper investigates the leader-following consensus control problem for a class of nonlinear multiagent systems subject to sensor and actuator faults under...
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SubjectTerms Actuators
Adaptive control
Adaptive systems
Circuit faults
Consensus control
Event-triggered
Fault tolerance
Fault tolerant systems
Faults
Feedback control
Graph theory
leader-following consensus
Multi-agent systems
Multiagent systems
Neural networks
Nonlinear systems
sensor and actuator faults
State observers
Title Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator Faults
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