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Chemical Technology, Control and Management

Abstract

The problems of constructing stable algorithms for adaptive estimation of the state of control objects with allowance for parametric perturbations based on the theory of conditional Gaussian filtration are considered. Algorithms for estimating the state of stochastic controllable objects using the regularized method of the Cholesky factorization and pseudo-inversion of perturbed symmetric matrices are given. These algorithms allow us to stabilize the procedure for inversion of matrices in estimating the state of stochastic objects and, thereby, to increase the accuracy of determining the true estimate of the state vector when the parameters of the object and the observer are perturbed.

First Page

47

Last Page

51

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