Adaptive leader-following consensus control of multi-agent systems using model reference adaptive control approach
This study is devoted to the adaptive consensus problem of multi-agent systems with partly unknown parameters and bounded external disturbances, under the guidance of an active leader with a reference input signal. Firstly, a distributed adaptive protocol is proposed for the system without disturban...
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| Veröffentlicht in: | IET control theory & applications Jg. 6; H. 13; S. 2002 - 2008 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Stevenage
Institution of Engineering and Technology
01.09.2012
John Wiley & Sons, Inc |
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| ISSN: | 1751-8644, 1751-8652 |
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| Abstract | This study is devoted to the adaptive consensus problem of multi-agent systems with partly unknown parameters and bounded external disturbances, under the guidance of an active leader with a reference input signal. Firstly, a distributed adaptive protocol is proposed for the system without disturbances by adopting the model reference adaptive control method. Then it is extended to the disturbed system by adding an adaptive disturbance compensator, based on the estimated upper and lower bounds of unknown disturbance. For the above two cases, sufficient conditions are, respectively, given to ensure that all agents can eventually track the prescribed leader. A numerical simulation illustrates the effectiveness of the proposed adaptive consensus protocol. [PUBLICATION ABSTRACT] |
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| AbstractList | This study is devoted to the adaptive consensus problem of multi-agent systems with partly unknown parameters and bounded external disturbances, under the guidance of an active leader with a reference input signal. Firstly, a distributed adaptive protocol is proposed for the system without disturbances by adopting the model reference adaptive control method. Then it is extended to the disturbed system by adding an adaptive disturbance compensator, based on the estimated upper and lower bounds of unknown disturbance. For the above two cases, sufficient conditions are, respectively, given to ensure that all agents can eventually track the prescribed leader. A numerical simulation illustrates the effectiveness of the proposed adaptive consensus protocol. This study is devoted to the adaptive consensus problem of multi-agent systems with partly unknown parameters and bounded external disturbances, under the guidance of an active leader with a reference input signal. Firstly, a distributed adaptive protocol is proposed for the system without disturbances by adopting the model reference adaptive control method. Then it is extended to the disturbed system by adding an adaptive disturbance compensator, based on the estimated upper and lower bounds of unknown disturbance. For the above two cases, sufficient conditions are, respectively, given to ensure that all agents can eventually track the prescribed leader. A numerical simulation illustrates the effectiveness of the proposed adaptive consensus protocol. [PUBLICATION ABSTRACT] |
| Author | Liu, Y. Jia, Y. |
| Author_xml | – sequence: 1 givenname: Y. surname: Liu fullname: Liu, Y. organization: The Seventh Research Division and the Department of Systems and Control, Key Laboratory of Mathematics, Informatics and Behavioral Semantics (LMIB), Ministry of Education, SMSS, Beihang University (BUAA), Beijing, 100191, People’s Republic of China – sequence: 2 givenname: Y. surname: Jia fullname: Jia, Y. organization: The Seventh Research Division and the Department of Systems and Control, Key Laboratory of Mathematics, Informatics and Behavioral Semantics (LMIB), Ministry of Education, SMSS, Beihang University (BUAA), Beijing, 100191, People’s Republic of China |
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| Keywords | Lower bound Multimodel control Leadership Disturbance rejection Input signal Transmission protocol Distributed system Adaptive control Adaptive method Consensus Guidance Reference model Upper bound Multiagent system Efficiency Leader election Artificial intelligence |
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| SubjectTerms | Adaptative systems Adaptive control systems Adaptive systems Agents (artificial intelligence) Applied sciences Artificial intelligence Computer science; control theory; systems Computer systems and distributed systems. User interface Control systems Control theory. Systems Disturbances Exact sciences and technology Expert systems Mathematical models Model reference adaptive control Software |
| Title | Adaptive leader-following consensus control of multi-agent systems using model reference adaptive control approach |
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