A control problem for evolutionary systems with incomplete information

Abstract

In this paper, evolutionary control systems in Hilbert space are considered. The state of the system is unknown, but there is an equation of measurement in discrete times. The initial state and disturbances are restricted by joint integral constraints. According to measurements, the information set is introduced that contains the true state of the system. The preliminary aim of control consists in minimization of the terminal criterion depending of the information set. We suggest some statements of the problem based on the separation of control and observation processes. The optimal instants of transition from estimation to control are looked for as well. The approach is applied to systems with the deviation of time of retarded and neutral types, to parabolic and hyperbolic partial differential equations.