Regular algorithms for estimating uncertain perturbations in problems of synthesis of invariant control systems

Regular algorithms for estimating uncertain perturbations in the problems of synthesis of invariant control systems are given. Recurrent algorithms for estimating uncertain perturbations in dynamic control systems are proposed based on the methods of dynamic filtering and solving ill-posed problems. The regularization parameter is recommended to be determined based on the method of model examples. The above algorithms make it possible to find a regularized estimate of the input vector compatible with the observed system output, and thereby improve the accuracy of estimating the input uncertain perturbation.