Stochastic Nonlinear Control Stablizability Based on Invers Optimality
The main aim of this work is focused on studying the global asymptotic stability in the probability for some class of closed-loop control system of Itotype in the presence of system uncertainty. Some onlinear continuous-time Ito-dynamic stochastic system deriven by unbounded stochastic noise input have been considered, where the equilibrium point of the stochastic system is preserved even in the presence of noise The global asymptotic stability in probability has been developed by using stabilization controller and Lyapunov stochastic approach.