Event-triggered distributed predictive cooperation control for multi-agent systems subject to bounded disturbances

This paper presents an event-triggered distributed predictive cooperation strategy for dynamically decoupled subsystems subject to bounded disturbances. Different from the traditional cooperative control using coupled constraints related to the agent’s state information, a synchronization parameter...

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Veröffentlicht in:Automatica (Oxford) Jg. 157; S. 111230
Hauptverfasser: Qin, Dongdong, Jin, Zhehao, Liu, Andong, Zhang, Wen-an, Yu, Li
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2023
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ISSN:0005-1098, 1873-2836
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Abstract This paper presents an event-triggered distributed predictive cooperation strategy for dynamically decoupled subsystems subject to bounded disturbances. Different from the traditional cooperative control using coupled constraints related to the agent’s state information, a synchronization parameter related to the agent’s control input information is introduced to design the parameterized synchronization constraint for the cooperation of multi-agent subsystems. An event-triggering condition involving the error between the system state and its optimal prediction is first designed for each agent, and the event-triggered distributed predictive control algorithm that is established on the triggering mechanism and the dual-mode approach is then designed. In such a framework, the distributed optimization problem is solved, and the parameterized information is exchanged between agents only when the triggering condition is satisfied, reducing the computation and communication load more efficiently. Moreover, the theoretical results guaranteeing the feasibility and closed-loop stability are developed. Finally, a formation control example for multiple mobile robots is given to verify the effectiveness of the proposed strategy.
AbstractList This paper presents an event-triggered distributed predictive cooperation strategy for dynamically decoupled subsystems subject to bounded disturbances. Different from the traditional cooperative control using coupled constraints related to the agent’s state information, a synchronization parameter related to the agent’s control input information is introduced to design the parameterized synchronization constraint for the cooperation of multi-agent subsystems. An event-triggering condition involving the error between the system state and its optimal prediction is first designed for each agent, and the event-triggered distributed predictive control algorithm that is established on the triggering mechanism and the dual-mode approach is then designed. In such a framework, the distributed optimization problem is solved, and the parameterized information is exchanged between agents only when the triggering condition is satisfied, reducing the computation and communication load more efficiently. Moreover, the theoretical results guaranteeing the feasibility and closed-loop stability are developed. Finally, a formation control example for multiple mobile robots is given to verify the effectiveness of the proposed strategy.
ArticleNumber 111230
Author Jin, Zhehao
Yu, Li
Liu, Andong
Qin, Dongdong
Zhang, Wen-an
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Keywords Distributed model predictive control
Parameterized synchronization constraint
Event-triggered control
Cooperation control
Multi-agent systems
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Snippet This paper presents an event-triggered distributed predictive cooperation strategy for dynamically decoupled subsystems subject to bounded disturbances....
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StartPage 111230
SubjectTerms Cooperation control
Distributed model predictive control
Event-triggered control
Multi-agent systems
Parameterized synchronization constraint
Title Event-triggered distributed predictive cooperation control for multi-agent systems subject to bounded disturbances
URI https://dx.doi.org/10.1016/j.automatica.2023.111230
Volume 157
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