Distributed optimization design for high-order multi-agent systems

In this paper, the distributed optimization problem for a continuous-time multi-agent systems is investigated. Different from most of the distributed optimization, we consider the dynamics of the agents, which are described in the high-order integrator form. Then we propose a distributed protocol de...

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Bibliographic Details
Published in2015 34th Chinese Control Conference (CCC) pp. 7251 - 7256
Main Authors Zhang, Yanqiong, Hong, Yiguang
Format Conference Proceeding Journal Article
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2015
Subjects
Agents (artificial intelligence)
Algorithms
Conferences
Control systems
Convergence
Cost function
Design engineering
Distributed optimization
Dynamics
Expert systems
Gradient-based algorithms
Graph theory
High-order integrator
Integrals
Laplace equations
Multi-agent systems
Optimization
Protocols
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Summary:In this paper, the distributed optimization problem for a continuous-time multi-agent systems is investigated. Different from most of the distributed optimization, we consider the dynamics of the agents, which are described in the high-order integrator form. Then we propose a distributed protocol design based on the gradient algorithm and integral feedback for the considered agent-network under a connected communication topology. A sufficient condition for the control parameters is given to make all the agents converge to optimal solution of the distributed optimization problem. Moreover, we also provide an example to illustrate the theoretical results.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:1934-1768
DOI:10.1109/ChiCC.2015.7260788