@article{H.Z. Igamberdiev, O.O. Zaripov, B.A. Kholkhodjayev_2020, title={Algorithms For Recovery Of Undefined Input Effects Of Dynamic Systems Under Conditions Of Correlated Noise Of Object}, volume={29}, url={https://sersc.org/journals/index.php/IJAST/article/view/18644}, abstractNote={<p><span class="fontstyle0">The article discusses the issues of formation of stable algorithms for estimation of uncertain<br>input effects of dynamic systems under conditions of correlated noise of the object. Principle of<br>expansion of mathematical models is used for formation of initial equation taking into account<br>correlation of object noise. A two-step computing procedure is used to calculate the Kalman<br>filter gain. To solve the original equation, the methods of Tikhonov, singular decomposition of<br>the matrix and Lavrentiev are used. Provides expressions for selecting the regularization option.<br>These algorithms allow to regulate the task of restoring undefined input effects in dynamic<br>systems under conditions of correlated noise of the object.</span> </p>}, number={9s}, journal={International Journal of Advanced Science and Technology}, author={H.Z. Igamberdiev, O.O. Zaripov, B.A. Kholkhodjayev}, year={2020}, month={May}, pages={5863-5869} }