Global control improvement method for non-homogeneous discrete systems
Автор: Gurman Vladimir Iosifovich, Rasina Irina Viktorovna
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Рубрика: Искусственный интеллект, интеллектуальные системы, нейронные сети
Статья в выпуске: 1 (28) т.7, 2016 года.
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We consider a class of non-homogeneous discrete systems (VAT), both widely used in practice, and resulting in the discretization of continuous systems in the solution of optimization problems by iterative methods. For this class, sufficient optimality conditions are formulated in two forms and an analog of the Krotov global improvement method is constructed. An illustrative example is given
Global improvement method, non-homogeneous discrete systems, optimal control
Короткий адрес: https://sciup.org/14336184
IDR: 14336184