Home /Research /Non-time based motion control for multiple intelligent vehicles
SWARM

Non-time based motion control for multiple intelligent vehicles

Howard Li, Brandon Brown

Year
2009
Citations
2

Abstract

In this paper, a non-time based tracking controller for multiple intelligent vehicles is designed. Non-time based motion controllers have been successfully applied to many areas such as robot motion control, multi-robot coordination, force and impact control, robotic tele-operation and manufacturing automation. In this research, we propose to use non-time based multi-agent control for the control of multiple vehicles. Simulations using two intelligent vehicles are conducted to investigate the performance of the proposed controllers. The proposed multi-agent non-time based tracking controllers can coordinate and control two vehicles to track the road successfully.

Keywords

AutomationComputer scienceControl engineeringController (irrigation)Motion controlIntelligent controlRobotTracking (education)Mobile robotControl (management)

Related papers

Browse all SWARM papers