Cooperative Tracking Control of Multiagent Systems: A Heterogeneous Coupling Network and Intermittent Communication Framework
- 27 August 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Cybernetics
- Vol. 49 (12), 4308-4320
- https://doi.org/10.1109/tcyb.2018.2859345
Abstract
This paper proposes a heterogeneous coupling network framework to address the cooperative tracking control problem for multiagent systems with dynamic interaction topology and bounded intermittent communication. By considering the underlying dynamic interaction topology and introducing the adjustable heterogeneous coupling weighting parameters, a bounded consensus condition of cooperative tracking control is proposed. With considering a bounded intermittent communication condition, a class of intermittent cooperative tracking control protocol is designed based on the combination of the individual agent dynamic and the exchange of information among the agents under an appropriate consensus speed constraint. It is proved in the sense of Lyapunov that the cooperative tracking control for the closed-loop multiagent systems can be achieved under the dynamic interaction topology, an appropriate feedback gain matrix, and the intermittent communication information of all agents. The results are further extended to the information consensus protocol with intermittent coordinated constraint information. Finally, two examples are presented to verify the effectiveness.Keywords
Funding Information
- Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China (2018JQ6071)
- Fundamental Research Funds for the Central Universities (20103176478)
- National Natural Science Foundation of China (61673308, 61533013, 61633019, 61433002, 61503292, 61473171, 61703326)
- Key Projects from the Ministry of Science and Technology (2017ZX07207003, 2017ZX07207005)
- MIIT Intelligent Manufacturing Special Project List of Y2016 (213)
- Shaanxi Provincial Key Project (2018ZDXM-GY-168)
- Shanghai Project (16DZ1201202, 17DZ1202704)
- University of South Carolina
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