Methods for approximate solution of optimal control problems
Автор: Gurman Vladimir Iosifovich, Rasina Irina Viktorovna, Guseva Irina Sergeevna, Fesko Oles Vladimirovich
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Рубрика: Методы оптимизации и теория управления
Статья в выпуске: 4 (27) т.6, 2015 года.
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We consider a general approach to the approximate solution of optimal control problems involving a global search for the initial approximation and the construction of effective iterative procedures for its improvement using the principles of expansion, localization, sufficient optimality conditions, and global estimates. A new version of the penalty method is proposed. Considerable attention is paid to new constructive methods on the basis of the minimax principle of VF. Krotova improved management
Extension and localization principles, global method of control improvement, minimax principle, new version of penalty method
Короткий адрес: https://sciup.org/14336161
IDR: 14336161
