ISSN 1991-2927
 

ACP № 4 (58) 2019

Algorithms for Solving Inverse Riccati Equation for Discrete Control Tasks

Innokentiy Vasilyevich Semushin, Ulyanovsk State University, Doctor of Science in Engineering, Professor of Information Technology Department at Ulyanovsk State University (UlSU); author of papers, monographs and textbooks; holds patents for inventions; is interested in filtering and control under uncertainty [e-mail: kentvsem @yandex. ru]I. Semushin,

Yulia Vladimirovna Tsyganova, Ulyanovsk State University, Doctor of Philosophy in Physics and Mathematics, Associate Professor of Information Technology Department at UlSU; author and co-author of monograph, papers, and textbooks; is interested in parameter identification, adaptive filtering, and numerically efficient algorithms for stochastic systems [e-mail: tsyganovajv@ mail.ru]Y. Tsyganova,

Natalia Dmitrievna Starostina, Ulyanovsk State University, post-graduate student of Information Technology Department at UlSU; graduated from Mathematics and Information Technology Faculty of UlSU with the specialty in «Applied Mathematics»; is interested in computational methods of estimation and control [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]N. Starostina

Algorithms for Solving Inverse Riccati Equation for Discrete Control Tasks 28_1.pdf

Robust algorithms for linear-quadratic regulator (LQR) within the structure of receding horizon control are considered based on scalarized square-root implementations.

Lqg-control, scalarized square-root algorithms, receding horizon control, orthogonalization.

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