Distributed event-triggered control of multi-agent systems with combinational measurements

This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational measurement approach to event design and developed the basic event-triggered control algorithm. As a result, control of agents is only triggered at th...

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Bibliographic Details
Published in:	Automatica (Oxford) Vol. 49; no. 2; pp. 671 - 675
Main Authors:	Fan, Yuan, Feng, Gang, Wang, Yong, Song, Cheng
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.02.2013 Elsevier
Subjects:	Agents (artificial intelligence) Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computer science; control theory; systems Computer systems and distributed systems. User interface Controllers Convergence Design engineering Event-triggered control Exact sciences and technology Expert systems Hybrid control systems Multi-agent systems Software Strategy Theoretical computing Three dimensional Event-triggered control Hybrid control systems Multi-agent systems Hybrid control Updating Iterative method Fork join problem Dead beat control Hybrid system Reactive system Multiagent system Efficiency Distributed control Feedforward Artificial intelligence Algorithm analysis Numerical convergence Discrete event system
ISSN:	0005-1098, 1873-2836
Online Access:	Get full text
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Abstract	This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational measurement approach to event design and developed the basic event-triggered control algorithm. As a result, control of agents is only triggered at their own event time, which reduces the amount of communication and lowers the frequency of controller updates in practice. Furthermore, based on the convergence analysis of the basic algorithm, we have proposed a new iterative event-triggered algorithm where continuous measurement of the neighbor states is avoided. It is noted that the amount of communication among agents has been significantly reduced without obvious negative effects on the control performances. The effectiveness of the proposed strategies is illustrated by numerical examples in 3D spaces.
AbstractList	This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational measurement approach to event design and developed the basic event-triggered control algorithm. As a result, control of agents is only triggered at their own event time, which reduces the amount of communication and lowers the frequency of controller updates in practice. Furthermore, based on the convergence analysis of the basic algorithm, we have proposed a new iterative event-triggered algorithm where continuous measurement of the neighbor states is avoided. It is noted that the amount of communication among agents has been significantly reduced without obvious negative effects on the control performances. The effectiveness of the proposed strategies is illustrated by numerical examples in 3D spaces.
Author	Fan, Yuan Song, Cheng Feng, Gang Wang, Yong
Author_xml	– sequence: 1 givenname: Yuan surname: Fan fullname: Fan, Yuan email: yuanf@mail.ustc.edu.cn organization: School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China – sequence: 2 givenname: Gang surname: Feng fullname: Feng, Gang email: megfeng@cityu.edu.hk organization: Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong – sequence: 3 givenname: Yong surname: Wang fullname: Wang, Yong email: yongwang@ustc.edu.cn organization: Department of Automation, University of Science and Technology of China, Hefei 230026, China – sequence: 4 givenname: Cheng surname: Song fullname: Song, Cheng email: songchen@mail.ustc.edu.cn organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
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Keywords	Event-triggered control Hybrid control systems Multi-agent systems Hybrid control Updating Iterative method Fork join problem Dead beat control Hybrid system Reactive system Multiagent system Efficiency Distributed control Feedforward Artificial intelligence Algorithm analysis Numerical convergence Discrete event system
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Snippet	This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational...
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SubjectTerms	Agents (artificial intelligence) Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computer science; control theory; systems Computer systems and distributed systems. User interface Controllers Convergence Design engineering Event-triggered control Exact sciences and technology Expert systems Hybrid control systems Multi-agent systems Software Strategy Theoretical computing Three dimensional
Title	Distributed event-triggered control of multi-agent systems with combinational measurements
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