Algorithms to Synthesis for Adaptive Sub-Optimal Control of Dynamic Objects Based on Regular Methods

Regular algorithms for the synthesis of adaptive suboptimal control of dynamic objects based on regular methods are presented. Moreover, the statistical properties of the variational method for identifying linear dynamical systems are described. To determine the variational estimate of the parameters on the system, the conditions of the minimum “distance” between the set of measurements and the set of trajectories of the model are used. The possibilities of the variational method are analyzed to solve the problem of parametric identification when the length of observation interval is limited. To add, the algorithms presented allow to regularize the considered problem of adaptive suboptimal control of dynamic objects based on regular methods.

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