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Cuiqin MA1; Tao LI2; Jifeng ZHANG2
Source Publicationjournalofsystemsscienceandcomplexity
AbstractThis work is concerned with consensus control for a class of leader-following multi-agent systems (MASs). The information that each agent received is corrupted by measurement noises. To reduce the impact of noises on consensus, time-varying consensus gains are adopted, based on which consensus protocols are designed. By using the tools of stochastic analysis and algebraic graph theory, a sufficient condition is obtained for the protocol to ensure strong mean square consensus under the fixed topologies. This condition is shown to be necessary and sufficient in the noise-free case. Furthermore, by using a common Lyapunov function, the result is extended to the switching topology case.
Document Type期刊论文
Recommended Citation
GB/T 7714
Cuiqin MA,Tao LI,Jifeng ZHANG. consensuscontrolforleaderfollowingmultiagentsystemswithmeasurementnoises[J]. journalofsystemsscienceandcomplexity,2010,23(1):35.
APA Cuiqin MA,Tao LI,&Jifeng ZHANG.(2010).consensuscontrolforleaderfollowingmultiagentsystemswithmeasurementnoises.journalofsystemsscienceandcomplexity,23(1),35.
MLA Cuiqin MA,et al."consensuscontrolforleaderfollowingmultiagentsystemswithmeasurementnoises".journalofsystemsscienceandcomplexity 23.1(2010):35.
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