期刊
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷 47, 期 16, 页码 3876-3887出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2015.1135358
关键词
Zero-gradient-sum (ZGS) algorithm; distributed convex optimisation; event-triggered scheme; consensus; multi-agent systems
类别
资金
- National Natural Science Foundation of China [61174213]
- Program for New Century Excellent Talents in University [NCET-10-0665]
This paper studies the distributed convex optimisation problem over directed networks. Motivated by practical considerations, we propose a novel distributed zero-gradient-sum optimisation algorithm with event-triggered communication. Therefore, communication and control updates just occur at discrete instants when some predefined condition satisfies. Thus, compared with the time-driven distributed optimisation algorithms, the proposed algorithm has the advantages of less energy consumption and less communication cost. Based on Lyapunov approaches, we show that the proposed algorithm makes the system states asymptotically converge to the solution of the problem exponentially fast and the Zeno behaviour is excluded. Finally, simulation example is given to illustrate the effectiveness of the proposed algorithm.
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