Design of a nonstationary stabilization law by a Hamiltonian

The paper is concerned with organization of additional optimization loops whereby a nonstationary control system is stabilised with incomplete information of the plant parameters. The method of algorithmic design [1, 2] is used. The optimization algorithm incorporates the function of possible variations of control signals (Hamiltonian) [3]. The proposed algorithms are applicable to optimization of control systems with incomplete a priori and/or current information on the system and environment. An example is given of solving the stabilization problem for a second order system.