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Regularized algorithms of adaptive assessment of state of control objects with parametric perturbation account.

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Kimyoviy texnologiya. Nazorat va boshqaruv

Kimyoviy texnologiya. Nazorat va boshqaruv

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ARTICLE ANNOTATION

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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.

AUTHORS

X.Igamberdiyev

TDTU

D.Qorirov

TDTU

Tags

# регуляризация# regularization# бошқариш объекти ҳолати# адаптив баҳолаш# параметрик ғалаѐн# мунтазамлаштириш# состояние объектов управления# адаптивное оценивание# параметрические возмущения# state of control objects# adaptive estimation# parametric perturbations

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Article Identifiers

ROI:

https://eroi.uz/11.0008/A0120-0019

DOI:

Not Available

References

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