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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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">donstu</journal-id><journal-title-group><journal-title xml:lang="en">Advanced Engineering Research (Rostov-on-Don)</journal-title><trans-title-group xml:lang="ru"><trans-title>Advanced Engineering Research (Rostov-on-Don)</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2687-1653</issn><publisher><publisher-name>Don State Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23947/1992-5980-2017-17-1-105-113</article-id><article-id custom-type="elpub" pub-id-type="custom">donstu-252</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="en"><subject>INFORMATION TECHNOLOGY, COMPUTER SCIENCE AND MANAGEMENT</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАТИКА, ВЫЧИСЛИТЕЛЬНАЯ ТЕХНИКА И УПРАВЛЕНИЕ</subject></subj-group></article-categories><title-group><article-title>Structural synthesis of discrete adaptive tracking systems based on the combined maximum principle</article-title><trans-title-group xml:lang="ru"><trans-title>Структурный синтез дискретных адаптивных следящих систем на основе объединенного принципа максимума</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>Костоглотов</surname><given-names>Андрей Александрович</given-names></name><name name-style="western" xml:lang="en"><surname>Kostoglotov</surname><given-names>Andrey A</given-names></name></name-alternatives><email xlink:type="simple">kostoglotov@icloud.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лазаренко</surname><given-names>Сергей Валерьевич</given-names></name><name name-style="western" xml:lang="en"><surname>Lazarenko</surname><given-names>Sergey V.</given-names></name></name-alternatives><email xlink:type="simple">rh3311@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кузнецов</surname><given-names>Антон Александрович</given-names></name><name name-style="western" xml:lang="en"><surname>Kuznetsov</surname><given-names>Anton A</given-names></name></name-alternatives><email xlink:type="simple">smithaa@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дерябкин</surname><given-names>Игорь Владимирович</given-names></name><name name-style="western" xml:lang="en"><surname>Deryabkin</surname><given-names>Igor V.</given-names></name></name-alternatives><email xlink:type="simple">i.deryabkin@jint.biz</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лосев</surname><given-names>Виталий Александрович</given-names></name><name name-style="western" xml:lang="en"><surname>Losev</surname><given-names>Vitaly A</given-names></name></name-alternatives><email xlink:type="simple">aibolit_773@mail.ru</email><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Донской государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Don State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Военно-воздушная академия им. проф. Н. Е. Жуковского и Ю. А. Гагарина</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Air Force Academy named after Professor N. E. Zhukovsky and Y. A. Gagarin</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Ростовский государственный университет путей сообщения</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Rostov State Transport University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>Институт сферы обслуживания и предпринимательства</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Service and Business</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>27</day><month>02</month><year>2018</year></pub-date><volume>17</volume><issue>1</issue><fpage>105</fpage><lpage>112</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Kostoglotov A.A., Lazarenko S.V., Kuznetsov A.A., Deryabkin I.V., Losev V.A., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Костоглотов А.А., Лазаренко С.В., Кузнецов А.А., Дерябкин И.В., Лосев В.А.</copyright-holder><copyright-holder xml:lang="en">Kostoglotov A.A., Lazarenko S.V., Kuznetsov A.A., Deryabkin I.V., Losev V.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.vestnik-donstu.ru/jour/article/view/252">https://www.vestnik-donstu.ru/jour/article/view/252</self-uri><abstract><p>Introduction. Discrepancy of the mathematical model structure to the observed process is one of the causes for loss in the control system operation. It determines the urgency of the problem of structural synthesis of the adaptive tracking systems which is considered in the extremum formulation. Materials and Methods. The combined maximum principle methodology is used to solve the synthesis problem in the quasideterministic approximation. In this case, the minimum condition of the objective functional which is the result of the convolution of the quality criterion and action integral is investigated. This allows building a state filter model with the structural adaptation as a solution to the inverse dynamic problem. Practical implementation of the results received through this approach in the digital tracking systems sets a problem of selecting a finite-dimensional approximation scheme for the obtained model which is associated with the determination of the synthesizing function approximation form and the use of the general solution to the homogeneous differential equation. Research Results. Embodiment of the digital tracking systems based on the finite-dimensional approximation with a new structure of the transfer matrix and covariance matrix of the disturbance intensity vector in discrete time is considered. Discussion and Conclusions. The mathematical modeling results show that a new method of the tracking systems synthesis in discrete time under regular perturbances improves accuracy of the estimators operation compared with the traditional approaches.</p></abstract><trans-abstract xml:lang="ru"><p>Введение. Несоответствие структуры математической модели наблюдаемому процессу является одной из причин срыва сопровождения при функционировании управляемых систем. Это определяет актуальность задачи структурного синтеза следящих адаптивных систем, которая рассматривается в экстремальной постановке Материалы и методы . Для решения задачи синтеза в квазидетерминированном приближении используется методология объединенного принципа максимума. Исследование в этом случае заключается в поиске условия минимума целевого функционала, который является результатом свертки критерия качества и интеграла действия. Это позволяет построить модель фильтра состояния со структурной адаптацией как решение обратной задачи динамики. Практическая реализация полученных с применением такого подхода результатов в цифровых следящих системах ставит задачу выбора схемы конечномерной аппроксимации полученной модели, что связано с определением вида приближения синтезирующей функции и использованием общего решения однородного дифференциального уравнения. Результаты исследования. Рассмотрен вариант практической реализации цифровых следящих систем на базе конечномерной аппроксимации с новой структурой переходной матрицы и ковариационной матрицы вектора интенсивности возмущений в дискретном времени. Обсуждения и заключение. Результаты математического моделирования показывают, что новый метод синтеза следящих систем в дискретном времени в условиях регулярных возмущений обеспечивает повышение точности функционирования алгоритмов оценки в сравнении с традиционными.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дискретное время</kwd><kwd>структурная адаптация</kwd><kwd>объединенный принцип максимума</kwd><kwd>синтез</kwd><kwd>фильтр Калмана</kwd><kwd>discrete time</kwd><kwd>structural adaptation</kwd><kwd>combined maximum principle</kwd><kwd>synthesis</kwd><kwd>Kalman filter</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">Руденко, Е. А. Оптимальные дискретные нелинейные фильтры порядка объекта и их гауссовские приближения / Е. А. Руденко // Автоматика и телемеханика. - 2010. - № 2. - С.159-178.</mixed-citation><mixed-citation xml:lang="en">Rudenko, E.A. 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