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Quantized tracking control for a multi-agent system with high-order leader dynamics. (English) Zbl 1263.93008
Summary: This paper presents a study of a tracking control problem for a multi-agent system with an active leader and quantized communication constraints. We first design a discrete-time distributed estimator-based tracking control for each follower-agent and analyze the tracking convergence with the help of the Riccati equation and common Lyapunov function when the communication channel is perfect and the interconnection topology is time-varying. Then a stochastic quantization strategy is applied to model the information communication in the agent coordination and the corresponding solution to the tracking control problem is also given. Finally, a numerical example is given to illustrate the tracking control algorithm.

MSC:
93A14 Decentralized systems
68T42 Agent technology and artificial intelligence
93E03 Stochastic systems in control theory (general)
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