Title :
Consensus problems for second-order multi-agent systems with adaptive gains
Author :
Miao Guoying ; Li Jianzhen ; Mei Ping
Author_Institution :
Sch. of Inf. & Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
The paper investigates adaptive consensus problems for continuous-time second-order multi-agent systems under undirected topologies. When adaptive gains in the consensus protocols are disturbed by stochastic noises, sufficient conditions for mean square consensus of multi-agent systems are given. By the graph theory and Lyapunov function, adaptive static consensus protocols based on nodes are designed, which is different from the existing literatures. Finally, simulation examples are provided to illustrate the effectiveness of our proposed methods in the paper.
Keywords :
Lyapunov methods; adaptive systems; continuous time systems; graph theory; mean square error methods; multi-robot systems; Lyapunov function; adaptive consensus problems; adaptive gains; adaptive static consensus protocols; consensus protocols; continuous-time second-order multiagent systems; graph theory; mean square consensus; stochastic noises; undirected topologies; Educational institutions; Lead; Multi-agent systems; Noise; Protocols; Topology; Adaptive Consensus; Multi-agent Systems; Stochastic Noise;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896824
