Controlling an object with a priori undefined state vector structure

The paper presents a technique enabling precise synthesis of control laws for a stochastic object with undefined state vector structure. The control laws synthesized are optimal subject to nonlinear probability criteria. The advantages of the new technique as against the control based on precise identification of state vector's structure during object's motion are demonstrated. An application example is included.