Abstract
This paper is concerned with leader-following consensus control for multi-agent systems under measurement noises. Time-varying consensus gains are introduced into the network protocol 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. In addition, by using a common Lyapunov function, the result is extended to the switching topology case.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
