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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">novtexmech</journal-id><journal-title-group><journal-title xml:lang="ru">Мехатроника, автоматизация, управление</journal-title><trans-title-group xml:lang="en"><trans-title>Mekhatronika, Avtomatizatsiya, Upravlenie</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1684-6427</issn><issn pub-type="epub">2619-1253</issn><publisher><publisher-name>Commercial Publisher «New Technologies»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17587/mau.16.515-522</article-id><article-id custom-type="elpub" pub-id-type="custom">novtexmech-187</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕТОДЫ ТЕОPИИ АВТОМАТИЧЕСКОГО И АВТОМАТИЗИРОВАННОГО УПPАВЛЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>METHODS OF THE THEORY OF AUTOMATIC CONTROL</subject></subj-group></article-categories><title-group><article-title>Приближенная линеаризация обратной связью на основе сингулярно возмущенного подхода</article-title><trans-title-group xml:lang="en"><trans-title>Approximate Feedback Linearization Based on the Singular Perturbations Approach</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кабанов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kabanov</surname><given-names>A. A.</given-names></name></name-alternatives><email xlink:type="simple">KabanovAleksey@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Севастопольский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sevastopol State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>28</day><month>08</month><year>2018</year></pub-date><volume>16</volume><issue>8</issue><fpage>515</fpage><lpage>522</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Commercial Publisher «New Technologies», 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Commercial Publisher «New Technologies»</copyright-holder><copyright-holder xml:lang="en">Commercial Publisher «New Technologies»</copyright-holder><license xlink:href="https://mech.novtex.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://mech.novtex.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://mech.novtex.ru/jour/article/view/187">https://mech.novtex.ru/jour/article/view/187</self-uri><abstract><p>Рассматривается вопрос синтеза приближенной линеаризирующей обратной связи на основе сингулярно возмущенного представления системы. Идея разработанного метода основана на декомпозиции исходной системы и решении задач синтеза линеаризирующей обратной связи для подсистем, полученных в результате этого разделения. При этом для упрощения процесса декомпозиции предлагается сначала линеаризовать часть системы, описывающую движение быстрых переменных состояния. Показаны примеры применения разработанного метода.</p></abstract><trans-abstract xml:lang="en"><p>One of the most common methods of synthesis of the nonlinear control systems is the method of a feedback linearization (FL). The idea of this method consists in conversion of the original nonlinear system into a linear one by means of a state feedback and coordinate transformation. Then, the methods of control theory for the linear systems are used for the system design. If the original nonlinear system cannot be linearized exactly by the state feedback, the method of the approximate feedback linearization (AFL) is used. The essence of AFL method lies in the feedback linearization only of a certain part of the original nonlinear system (not of the entire system). In this paper, the author proposes a method of an approximate feedback linearization control of the nonlinear singularly perturbed (SP) systems. The proposed method is based on a decomposition of the original SP system and construction of AFL control in the form of composite FL controls for the slow and fast subsystems. In general, a nonlinear SP system cannot be easily separated into slow and fast subsystems, because the conditions of Tikhonov theorem are not complied. In order to overcome this, the author proposes to perform the feedback linearization method at first for the system's part, which describes the fast state variables. Thus, a fast control is chosen, so that the conditions of Tikhonov theorem would be met. Then, using a standard singular perturbation technique, we obtain a slow subsystem. Further the problem of FL control for a slow subsystem is solved. The resulting AFL control is obtained in the form of a composite control. Application of the proposed approach is illustrated with two examples.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сингулярно возмущенная система</kwd><kwd>приближенная линеаризация обратной связью</kwd><kwd>композиционное управление</kwd><kwd>робастная устойчивость</kwd><kwd>singularly perturbed system</kwd><kwd>approximate feedback linearization</kwd><kwd>composite control</kwd><kwd>robust stability</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Мирошник И. В., Никифоров В. О., Фрадков А. Л. Нелинейное и адаптивное управление сложными динамическими системами. СПб.: Наука, 2000. 549 с.</mixed-citation><mixed-citation xml:lang="en">Мирошник И. В., Никифоров В. О., Фрадков А. Л. 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