Title :
Consensus stability of multi-agent systems with stochastic sampling times
Author :
Yu Hongwang ; Zhang Baoshan
Author_Institution :
Dept. of Math. & Stat., Nanjing Audit Univ., Nanjing, China
Abstract :
This paper investigates the collective behavior of multi-agent systems over a digital network. The location coordinates of each agent are sampled by some remote sensor, where the sampling times are driven by a stochastic process with identically independently distributed. Sufficient conditions are given to guarantee almost sure consensus stability of dynamical agents.
Keywords :
multi-agent systems; sampling methods; stability; stochastic processes; consensus stability; multi-agent systems; remote sensor; stochastic sampling times; Asymptotic stability; Laplace equations; Multiagent systems; Stability criteria; Stochastic processes; Vehicle dynamics; Consensus; Multi-Agent Systems; Sampling Times; Stochastic Stability;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6