Mean square consensus for uncertain multiagent systems with noises and delays
Summary: This paper investigates the consensus problem in mean square for uncertain multiagent systems with stochastic measurement noises and symmetric or asymmetric time-varying delays. By combining the tools of stochastic analysis, algebraic graph theory, and matrix theory, we analyze the convergence of a class of distributed stochastic approximation type protocols with time-varying consensus gains. Numerical examples are also given to illustrate the theoretical results.
uncertain multiagent systems with stochastic measurement noises
symmetric or asymmetric time-varying delays.
scientific article; zbMATH DE number 6034234