Soft control of swarms system
Lin Li · 2008
Considering the collective dynamics of a group of mobile autonomous agents moving in Euclidean space with control,which keeps the local rule of the existing agents in the system.The collective behavior of the group is interve by increasing one or more controlled intelligent agents.A control law for intelligent agents that can be controlled randomly is provided so that it can synchronize the swarm center to an expect position and discuss the optimization of convergence time by particle swarm optimization(PSO) algorithm for several intelligent agents.A case study shows the feasibility of soft control.