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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Vydáno v:IET control theory & applications Ročník 6; číslo 13; s. 2002 - 2008
Hlavní autoři: Liu, Y., Jia, Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Stevenage Institution of Engineering and Technology 01.09.2012
John Wiley & Sons, Inc
Témata:
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
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
ISSN:1751-8644, 1751-8652
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Popis
Shrnutí: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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ISSN:1751-8644
1751-8652
DOI:10.1049/iet-cta.2011.0649