Containment Control of Multiagent Systems with Multiple Leaders and Noisy Measurements
Zhao-Jun Tang, Ting‐Zhu Huang, Jinliang Shao · Abstract and Applied Analysis · 2012
We consider the distributed containment control of multiagent systems with multiple stationary leaders and noisy measurements. A stochastic approximation type and consensus‐like algorithm is proposed to solve the containment control problem. We provide conditions under which all the followers can converge both almost surely and in mean square to the stationary convex hull spanned by the leaders. Simulation results are provided to illustrate the theoretical results.