Title :
Adaptive pinning consensus of networked multi-agent systems with nonlinear couplings and directed graphs
Author :
Bohui Wang ; Jingcheng Wang ; Yi Zhang ; Langwen Zhang ; Zhengfeng Liu ; Kang Li
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Consensus is a fundamental and important problem for cooperative control. This paper mainly studies the consensus of networked multi-agent systems with nonlinear couplings via pinning control. An adaptive desired weighting consensus protocol is proposed to control a small fraction of pinned agents for directed graphs. Then, an adaptive controller gain average consensus protocol is presented via the selected pinning agents for weighted directed graphs. Sufficient conditions for achieving the desired consensus asymptotically are proved. Finally, theoretical results are validated via simulations.
Keywords :
adaptive control; directed graphs; feedback; multi-agent systems; networked control systems; nonlinear control systems; adaptive controller gain average consensus protocol; adaptive desired weighting consensus protocol; adaptive pinning consensus; cooperative control; networked multiagent systems; nonlinear couplings; pinned agents; pinning control; sufficient conditions; weighted directed graphs; Adaptive control; Couplings; Multi-agent systems; Protocols; Trajectory; Vectors; Adaptive control gain; Adaptive desired weighting; Average consensus; Consensus; Networked multi-agent systems; Pinning control;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896879
