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АЛГОРИТМЫ ПАРАМЕТРИЧЕСКОЙ ОПТИМИЗАЦИИ ДЛЯ НЕЛИНЕЙНЫХ СИСТЕМ, ОСНОВАННЫЕ НА НЕОБХОДИМЫХ УСЛОВИЯХ ОПТИМАЛЬНОСТИ

Афанасьев В. Н., Преснова А. П.

We formulate the optimal control problem for a class of nonlinear objects that can be represented as objects with linear structure and state-dependent coefficients. The linear structure of the transformed nonlinear system and the quadratic quality functional let us, in the optimal control synthesis, to pass from Hamilton–Jacobi equations to a state-dependent Riccati equation. The main problem is the implementation of an optimal control problem is related to the search for solutions of this equation in the rate of the object functioning. This paper proposes a method of an algorithmic parameter optimization of the controller based on the use of the necessary conditions for the optimality of the considered control systems. The constructed algorithms can be used both for optimizing the non-stationary objects themselves, if the corresponding parameters are selected for this purpose, and for optimizing the entire managed system by means of the corresponding parametric adjustment of the regulators. The effectiveness of the developed algorithms is demonstrated by the example of medical treatment of patients with HIV.