TY - JOUR
A2 - Shu, Zhan
AU - Zhou, Yu
AU - Zheng, Wenfeng
AU - Shen, Zhixi
PY - 2016
DA - 2016/12/28
TI - A New Algorithm for Distributed Control Problem with Shortest-Distance Constraints
SP - 1604824
VL - 2016
AB - This paper investigates the distributed shortest-distance problem of multiagent systems where agents satisfy the same continuous-time dynamics. The objective of multiagent systems is to find a common point for all agents to minimize the sum of the distances from each agent to its corresponding convex region. A distributed consensus algorithm is proposed based on local information. A sufficient condition also is given to guarantee the consensus. The simulation example shows that the distributed shortest-distance consensus algorithm is effective for our theoretical results.
SN - 1024-123X
UR - https://doi.org/10.1155/2016/1604824
DO - 10.1155/2016/1604824
JF - Mathematical Problems in Engineering
PB - Hindawi Publishing Corporation
KW -
ER -