期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 27, 期 4, 页码 853-862出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2015.2425933
关键词
Convergence time; finite-time consensus; multiagent system; switching protocol
类别
资金
- General Research Fund (GRF) through The University of Hong Kong, Hong Kong [7140/11E]
- GRF [CityU 11201414]
- Shenzhen Science, Technology and Innovation Commission Basic Research Program [JCYJ20120831142942514]
- National Natural Science Foundation of China [61304174, 61322302]
- Fundamental Research Funds for the Central Universities of China
In this paper, we study the problem of finite-time consensus of multiagent systems on a fixed directed interaction graph with a new protocol. Existing finite-time consensus protocols can be divided into two types: 1) continuous and 2) discontinuous, which were studied separately in the past. In this paper, we deal with both continuous and discontinuous protocols simultaneously, and design a centralized switching consensus protocol such that the finite-time consensus can be realized in a fast speed. The switching protocol depends on the range of the initial disagreement of the agents, for which we derive an exact bound to indicate at what time a continuous or a discontinuous protocol should be selected to use. Finally, we provide two numerical examples to illustrate the superiority of the proposed protocol and design method.
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