有向拓扑二阶多智能体系统的量化数据一致性

Chao Wang, Weiwei Mao, Xiaobo Li, Weisheng Chen, Jing Li
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引用次数: 0

摘要

研究了有向拓扑下具有量化数据的线性离散二阶多智能体系统的一致性问题。利用量子化的共识协议,通过位置和速度给出了共识的充要条件。当设计参数满足量化一致性条件且量化区间长度趋于零时,得到最终的一致性值。进一步研究了agent速度不可用时,基于观测器的量化一致性问题。仿真实例验证和说明了本文的理论结果。
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Quantized-data consensus of second-order multi-agent systems with directed topology
This paper studies the consensus problem for linear discrete-time second-order multi-agent system with quantized data under directed topologies. The necessary and sufficient conditions for consensus are given by using a quantized consensus protocol via positions and velocities. Also, the final consensus value is obtained if the design parameters satisfy the conditions of the quantized consensus and the length of quantization interval tends to zero. Furthermore, the observer-based quantized consensus is investigated as well when the velocities of agents are unavailable. Simulation examples are provided to verify and illustrate the theoretical results obtained in this paper.
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