Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method

This paper investigates the consensus problem for multiagent systems with nonlinear dynamics and time delays. A distributed adaptive consensus protocol is proposed in which the time delays are explicitly included in the adaptive algorithm. It is shown that the resultant closed loop system involves d...

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Main Authors:	Qian Cao, Y. D. Song, Lei Wang, Feng Yang
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Abstract and Applied Analysis
Online Access:	http://dx.doi.org/10.1155/2014/792360

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record_format	Article
spelling	doaj-2c76d59a4de54521ba1963d86a9a22532020-11-24T23:28:51ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/792360792360Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive MethodQian Cao0Y. D. Song1Lei Wang2Feng Yang3School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThis paper investigates the consensus problem for multiagent systems with nonlinear dynamics and time delays. A distributed adaptive consensus protocol is proposed in which the time delays are explicitly included in the adaptive algorithm. It is shown that the resultant closed loop system involves doubly larger time delays, making the stability analysis nontrivial. Stability condition on maximum tolerable time delay is established and controlled by the proposed two-hop adaptive algorithm. The explicit expression of the delay margin is derived and analyzed in the frequency domain. Both the agent state errors and the estimation parameter errors converge to zero. A simulation example is illustrated to verify the theory results.http://dx.doi.org/10.1155/2014/792360
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Qian Cao Y. D. Song Lei Wang Feng Yang
spellingShingle	Qian Cao Y. D. Song Lei Wang Feng Yang Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method Abstract and Applied Analysis
author_facet	Qian Cao Y. D. Song Lei Wang Feng Yang
author_sort	Qian Cao
title	Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method
title_short	Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method
title_full	Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method
title_fullStr	Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method
title_full_unstemmed	Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method
title_sort	consensus for multiagent systems with nonlinear dynamics and time delays using a two-hop relay adaptive method
publisher	Hindawi Limited
series	Abstract and Applied Analysis
issn	1085-3375 1687-0409
publishDate	2014-01-01
description	This paper investigates the consensus problem for multiagent systems with nonlinear dynamics and time delays. A distributed adaptive consensus protocol is proposed in which the time delays are explicitly included in the adaptive algorithm. It is shown that the resultant closed loop system involves doubly larger time delays, making the stability analysis nontrivial. Stability condition on maximum tolerable time delay is established and controlled by the proposed two-hop adaptive algorithm. The explicit expression of the delay margin is derived and analyzed in the frequency domain. Both the agent state errors and the estimation parameter errors converge to zero. A simulation example is illustrated to verify the theory results.
url	http://dx.doi.org/10.1155/2014/792360
work_keys_str_mv	AT qiancao consensusformultiagentsystemswithnonlineardynamicsandtimedelaysusingatwohoprelayadaptivemethod AT ydsong consensusformultiagentsystemswithnonlineardynamicsandtimedelaysusingatwohoprelayadaptivemethod AT leiwang consensusformultiagentsystemswithnonlineardynamicsandtimedelaysusingatwohoprelayadaptivemethod AT fengyang consensusformultiagentsystemswithnonlineardynamicsandtimedelaysusingatwohoprelayadaptivemethod
_version_	1725547587135602688

Consensus for Multiagent Systems with Nonlinear Dynamics and Time Delays Using a Two-Hop Relay Adaptive Method

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