1. Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm.
- Author
-
Wang, Ting, Zhang, Hang, and Zhao, Yanlong
- Subjects
MULTIAGENT systems ,PARAMETER estimation ,RANDOM noise theory ,ALGORITHMS - Abstract
This paper studies consensus problems of multi-agent systems with binary-valued communications. Different from most existing works, the agents considered in this paper can only get binary-valued observations of its neighbors’ states with random noises. A consensus algorithm is proposed: first, each agent estimates its neighbors’ states by the recursive projection algorithm; then, each agent designs the control timely based on the estimates. It is proved that the estimates of the states can converge to the true states with a faster convergence rate than that in the parameter estimation. Moreover, the states of the agents can achieve mean-square consensus, and the corresponding consensus speed can achieve $O(1/t)$ under certain conditions. Finally, simulations are given to demonstrate the theoretical results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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