Abstract
This paper is concerned with the average consensus problem on multi-agent networks with undirected interactions which can be either static or dynamic. Notably, the multi-agent networks involving static and dynamic interactions are represented by graphs with edge weights in the form of real numbers and transfer functions. We propose a distributed consensus control algorithm based on the nearest neighbor rule. It is shown that the connectivity topology condition supplies a necessary and sufficient condition for all agents to achieve average consensus. Numerical simulations are provided to verify the effectiveness of the obtained results.
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Acknowledgments
This work was supported in part by the National Basic Research Program of China (973 Program) under Grant 2012CB821200 and Grant 2012CB821201, in part by the National Natural Science Foundation of China (NSFC) under Grant 61473010, Grant 61134005, Grant 61221061, Grant 61327807, Grant 61532006, and Grant 61320106006, in part by the Beijing Natural Science Foundation under Grant 4162036, and in part by the Fundamental Research Funds for the Central Universities.
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Niu, W., Meng, D., Ding, X. (2016). Consensus Control for Multi-agent Networks with Mixed Undirected Interactions. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-10-2338-5_10
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DOI: https://doi.org/10.1007/978-981-10-2338-5_10
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