Decentralized Flocking Protocol of Multi-agent Systems with Predictive Mechanisms
This paper presents a novel decentralized predictive flocking protocol of discrete-time multi-agent systems, where every agent is driven by a predictive controller with the local information of its neighbors. The feasibility of the decentralized protocol and system convergence is demonstrated by numerical simulations, wherethe effects of sampling period, prediction horizon and control horizon, the three parameters for predictive controllers, on the flocking performance are verified with the supportive illustrations of convergence rate and lattice regularity.
ZHAN Jingyuan LI Xiang
Adaptive Networks and Control Lab, Electronic Engineering Department, Fudan University, Shanghai 200433, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）