Quantized tracking control for a multi‐agent system with high‐order leader dynamics
Quantized tracking control for a multi‐agent system with high‐order leader dynamics
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DOI：
10.1002/asjc.311
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发表时间：
2011-11
影响因子：
2.4
通讯作者：
Jiangping Hu;G. Feng
中科院分区：
文献类型：
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作者：
Jiangping Hu;G. Feng
本文研究了具有主动领导者和量化通信约束的多智能体系统的跟踪控制问题。我们首先为每个跟随智能体设计了一个基于离散时间分布估计器的跟踪控制器，并在通信信道是理想的和互连拓扑是时变的情况下，借助Riccati方程和公共Lyapunov函数分析了跟踪收敛性。在此基础上，采用随机量化策略对Agent协调过程中的信息通信进行建模，并给出了相应的跟踪控制问题的解决方案。最后，给出了一个数值例子来说明跟踪控制算法.
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.