Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays

Rongxin Cui; Dong Cui; Mou Chen

doi:10.1007/978-3-642-39068-5_15

Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays

Rongxin Cui, Dong Cui, Mou Chen

School of Marine Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we focus on the cooperative tracking problem of multi-agent systems with nonlinear dynamics and communication time delays. Only a portion of agents can access the information of the desired trajectory and there are communication delays among the agents. Through designing an adaptive neural network based control law and constructing an appropriate Lyapunov-Krasovskii functional, it is proved that the tracking error of each agent converges to a neighborhood of zero. Simulation results are provided to show the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings
Publisher	Springer Verlag
Pages	120-129
Number of pages	10
Edition	PART 2
ISBN (Print)	9783642390678
DOIs	https://doi.org/10.1007/978-3-642-39068-5_15
State	Published - 2013
Event	10th International Symposium on Neural Networks, ISNN 2013 - Dalian, China Duration: 4 Jul 2013 → 6 Jul 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7952 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Symposium on Neural Networks, ISNN 2013
Country/Territory	China
City	Dalian
Period	4/07/13 → 6/07/13

Keywords

cooperative tracking
Lyapunov- Krasovskii
multi-agent system
time delay

Access to Document

10.1007/978-3-642-39068-5_15

Cite this

Cui, R., Cui, D., & Chen, M. (2013). Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays. In Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings (PART 2 ed., pp. 120-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7952 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-642-39068-5_15

Cui, Rongxin ; Cui, Dong ; Chen, Mou. / Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays. Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings. PART 2. ed. Springer Verlag, 2013. pp. 120-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "In this paper, we focus on the cooperative tracking problem of multi-agent systems with nonlinear dynamics and communication time delays. Only a portion of agents can access the information of the desired trajectory and there are communication delays among the agents. Through designing an adaptive neural network based control law and constructing an appropriate Lyapunov-Krasovskii functional, it is proved that the tracking error of each agent converges to a neighborhood of zero. Simulation results are provided to show the effectiveness of the proposed algorithm.",

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author = "Rongxin Cui and Dong Cui and Mou Chen",

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booktitle = "Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings",

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Cui, R, Cui, D & Chen, M 2013, Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays. in Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7952 LNCS, Springer Verlag, pp. 120-129, 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, 4/07/13. https://doi.org/10.1007/978-3-642-39068-5_15

Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays. / Cui, Rongxin; Cui, Dong; Chen, Mou.
Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings. PART 2. ed. Springer Verlag, 2013. p. 120-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7952 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we focus on the cooperative tracking problem of multi-agent systems with nonlinear dynamics and communication time delays. Only a portion of agents can access the information of the desired trajectory and there are communication delays among the agents. Through designing an adaptive neural network based control law and constructing an appropriate Lyapunov-Krasovskii functional, it is proved that the tracking error of each agent converges to a neighborhood of zero. Simulation results are provided to show the effectiveness of the proposed algorithm.

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Cui R, Cui D, Chen M. Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays. In Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings. PART 2 ed. Springer Verlag. 2013. p. 120-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-39068-5_15

Cooperative tracking of multiple agents with uncertain nonlinear dynamics and fixed time delays

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