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. © 2012 IEEE.

Meeting Name

Proceedings of the International Joint Conference on Neural Networks (2012, Brisbane, QLD)

Department(s)

Mechanical and Aerospace Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2012 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.


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