title: ÐÐµÑÐ¾Ð´ Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾ÑÑÐ¸ Ð»Ð¸Ð½ÐµÐ¹Ð½ÑÑ Ð´Ð¸ÑÐºÑÐµÑÐ½ÑÑ Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð¾-Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Method and algorithm for spectral stability analysis of linear discrete locally optimal systems
Creators: name: ÐÐ¾Ð³Ð¾Ð´ÑÑÐ¾Ð²Ð°, ÐÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾ÑÑÑ
Ð´Ð¸ÑÐºÑÐµÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð¾ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ðµ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ
ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
stability
discrete systems
locally optimal control
spec-tral analysis
optimization

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description: The topic of the final qualification work: "Method and algorithm of the spectral stability analysis of linear discrete locally optimal systems". This work is devoted to the study of the method of spectral analysis of the sta-bility of linear discrete systems with locally optimal control, as well as the develop-ment and application of an algorithm for estimating the feedback gain based on this method to ensure the stability of systems. Tasks that were solved in the course of the study: 1. Investigation of the method of synthesis of locally optimal control for linear discrete systems; 2. Investigation of the method of spectral analysis of linear discrete locally optimal systems; 3. Development of an algorithm for applying spectral analysis to obtain constraints on the feedback gain that ensures the stability of the system; 4. Application of the developed algorithm and analysis of the results ob-tained. As a result of the work, an algorithm was developed for obtaining constraints on the feedback gain to achieve the stability system. The electric power system was chosen as the object of study in the work. For the selected system, acceptable values of the feedback gain coefficient were obtained, after which a number of experiments were carried out, showing that the developed algorithm works correctly and the sys-tem achieves stability.