Decentralized Control of Nonlinear Multi-Agent Systems Using Single Network Adaptive Critics

Ali Heydari; S. N. Balakrishnan

doi:10.1109/IJCNN.2012.6252850

Decentralized Control of Nonlinear Multi-Agent Systems Using Single Network Adaptive Critics

Ali Heydari
, S. N. Balakrishnan

Missouri University of Science and Technology

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of decentralized control of multi-agent nonlinear systems is solved by introducing the concept of virtual agents to generate reference trajectories to be tracked by the actual agents. The tracking problem as an optimal control problem is formulated in the framework of approximate dynamic programming. Solutions are obtained using single network adaptive critics and network weight update rule is discussed. Finally, the proposed theory is simulated on the network of several satellites to reach consensus on their attitude. Numerical results demonstrate the versatility and usefulness of the proposed approach. © 2012 IEEE.

Original language	American English
Journal	Proceedings of the International Joint Conference on Neural Networks
DOIs	https://doi.org/10.1109/IJCNN.2012.6252850
State	Published - Jan 1 2012

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Aerospace Engineering
Mechanical Engineering

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https://doi.org/10.1109/IJCNN.2012.6252850

Cite this

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title = "Decentralized Control of Nonlinear Multi-Agent Systems Using Single Network Adaptive Critics",

abstract = " The problem of decentralized control of multi-agent nonlinear systems is solved by introducing the concept of virtual agents to generate reference trajectories to be tracked by the actual agents. The tracking problem as an optimal control problem is formulated in the framework of approximate dynamic programming. Solutions are obtained using single network adaptive critics and network weight update rule is discussed. Finally, the proposed theory is simulated on the network of several satellites to reach consensus on their attitude. Numerical results demonstrate the versatility and usefulness of the proposed approach. {\textcopyright} 2012 IEEE.",

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N2 - The problem of decentralized control of multi-agent nonlinear systems is solved by introducing the concept of virtual agents to generate reference trajectories to be tracked by the actual agents. The tracking problem as an optimal control problem is formulated in the framework of approximate dynamic programming. Solutions are obtained using single network adaptive critics and network weight update rule is discussed. Finally, the proposed theory is simulated on the network of several satellites to reach consensus on their attitude. Numerical results demonstrate the versatility and usefulness of the proposed approach. © 2012 IEEE.

AB - The problem of decentralized control of multi-agent nonlinear systems is solved by introducing the concept of virtual agents to generate reference trajectories to be tracked by the actual agents. The tracking problem as an optimal control problem is formulated in the framework of approximate dynamic programming. Solutions are obtained using single network adaptive critics and network weight update rule is discussed. Finally, the proposed theory is simulated on the network of several satellites to reach consensus on their attitude. Numerical results demonstrate the versatility and usefulness of the proposed approach. © 2012 IEEE.

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JO - Proceedings of the International Joint Conference on Neural Networks

JF - Proceedings of the International Joint Conference on Neural Networks

ER -

Decentralized Control of Nonlinear Multi-Agent Systems Using Single Network Adaptive Critics

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