Abstract: This article addresses the consensus of one-sided Lipschitz multi-agent systems (MASs) subject to deception attacks and stochastic perturbation by using impulsive protocols. First, the ...

Scientific Machine Learning (SciML) represents a multi-disciplinary approach that fuses the physical laws governing a system (such as equations from physics or engineering) with data-driven machine ...

Abstract: This article is devoted to stochastic convergence theorems for stochastic impulsive systems (SISs) and their application to discrete-time stochastic feedback control (DTSFC). A general ...