Analytical design of quasioptimal adaptive control in a nonlinear stochastic system

For a criterion which is represented as a convex functional of the state vector the structure of optimal adaptive control is determined as an evaluation function for the vector of phase coordinates of a nonlinear stochastic system (viz. t he distribution theorem is generalized). An iterative procedure is developed for analytical design of a control equation and Gaussian approximation is estimated.