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This paper is concerned with the stochastic containment control problem for distributed network with multiplicative and additive noises, in which the stochastic approximation technique is utilized. A major challenge, compared with the existing results with multiplicative and additive noises, is that the involving leaders are dynamically changing. It is shown that finite boundedness for dynamical leaders...
This paper investigates stochastic containment control problems of multi-agent systems with measured noise in mean square sense. First, based on the Kalman-Bucy filtering theory, we design a proposed protocol for stochastic containment control problems based on the neighbors' information, and give a proof to check that Kalman-Bucy filtering estimation is an asymptotically unbiased estimation. Second,...
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