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Distributed Adaptive Optimization for Generalized Linear Multiagent Systems.
- Source :
-
Discrete Dynamics in Nature & Society . 8/1/2019, p1-10. 10p. - Publication Year :
- 2019
-
Abstract
- In this paper, the edge-based and node-based adaptive algorithms are established, respectively, to solve the distribution convex optimization problem. The algorithms are based on multiagent systems with general linear dynamics; each agent uses only local information and cooperatively reaches the minimizer. Compared with existing results, a damping term in the adaptive law is introduced for the adaptive algorithms, which makes the algorithms more robust. Under some sufficient conditions, all agents asymptotically converge to the consensus value which minimizes the cost function. An example is provided for the effectiveness of the proposed algorithms. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MULTIAGENT systems
*LINEAR systems
*COST functions
Subjects
Details
- Language :
- English
- ISSN :
- 10260226
- Database :
- Academic Search Index
- Journal :
- Discrete Dynamics in Nature & Society
- Publication Type :
- Academic Journal
- Accession number :
- 137841095
- Full Text :
- https://doi.org/10.1155/2019/9181093