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Quantized consensus in second-order multi-agent systems via event-trigger control with sampled data
DOI:10.1016/j.jfranklin.2017.12.012.png)
摘要
En 中文
This paper addresses the quantized consensus problem of second-order multi-agent systems (MASs) where the topology has a directed spanning tree. An event-trigger control protocol (ETCP) is proposed by designing a combined threshold. The combined threshold not only reduces more event triggers than the state-dependent threshold, but also is more practical than the time-dependent threshold. For further reducing computation resources and transmission cost, the sampled data, self-trigger scheme and data quantization are employed together. Under the proposed ETCP, the sufficient condition is derived to guarantee the quantized consensus of second-order MASs. Finally, the comparison experiments are conducted to demonstrate the superiority of ETCP based on the combined threshold. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
TRANSMISSION STRATEGY
SUFFICIENT CONDITIONS
SWITCHING TOPOLOGY
DIRECTED TOPOLOGY
AVERAGE CONSENSUS
NETWORKS
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期刊
J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
机构
引用论文
Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays具有量化和时变网络延迟的系统的基于模型的事件触发控制
Consensus in Multi-Agent Systems With Second-Order Dynamics and Sampled Data具有二阶动力学和采样数据的多智能体系统中的一致性
A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems
AUTOMATICA
IF5.9

