Title :
Multi-agent system tracking using sliding mode control combined with artificial potential
Author_Institution :
Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
Other than feedback linearization method used in 2 dimensional space, a new control strategy of multi-agent system in three dimensional space is proposed in this paper. Based on sliding mode control, artificial potentials are combined used in the control strategy. It can be widely adopted to deal with the nonlinear plant in three dimensional space, and used for tracking static or moving goals robustly with obstacles in circumstances. The stability of the control strategy is proven by choosing proper Lyapunov function and also illuminated by some simulations.
Keywords :
Lyapunov methods; multi-agent systems; nonlinear control systems; stability; variable structure systems; Lyapunov function; artificial potential; control stability; multiagent system tracking; nonlinear plant; sliding mode control; Control systems; Graph theory; Linear feedback control systems; Lyapunov method; Multiagent systems; Robot kinematics; Robustness; Sliding mode control; Space vehicles; Stability; Artificial potential field; Multi-Agent; sliding mode control; tracking;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5194882