Meta-heuristic interval methods of search of optimal in average control of nonlinear determinate systems with incomplete information about its parameters
- Авторы: Panovskiy V.1, Panteleev A.1
-
Учреждения:
- MAI (National Research University)
- Выпуск: Том 56, № 1 (2017)
- Страницы: 52-63
- Раздел: Control in Stochastic Systems and Under Uncertainty Conditions
- URL: https://journals.rcsi.science/1064-2307/article/view/219797
- DOI: https://doi.org/10.1134/S1064230717010117
- ID: 219797
Цитировать
Аннотация
This work considers algorithms of optimal control of nonlinear continuous determinate systems with feedback by the output variables with incomplete information about its parameters. It is proposed to determine optimal in average control in the form of decomposition by basis functions. Metaheuristic interval optimization methods (adaptive interval algorithm, interval explosion search and interval genetic algorithm) are used to find decomposition coefficients. Proposed algorithms are implemented in a form of software complex which was used to solve the interception problem.
Об авторах
V. Panovskiy
MAI (National Research University)
Автор, ответственный за переписку.
Email: panovskiy.v@yandex.ru
Россия, Moscow, 125993
A. Panteleev
MAI (National Research University)
Email: panovskiy.v@yandex.ru
Россия, Moscow, 125993
![](/img/style/loading.gif)