Meta-heuristic interval methods of search of optimal in average control of nonlinear determinate systems with incomplete information about its parameters
- 作者: Panovskiy V.1, Panteleev A.1
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隶属关系:
- MAI (National Research University)
- 期: 卷 56, 编号 1 (2017)
- 页面: 52-63
- 栏目: 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
如何引用文章
详细
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.
作者简介
V. Panovskiy
MAI (National Research University)
编辑信件的主要联系方式.
Email: panovskiy.v@yandex.ru
俄罗斯联邦, Moscow, 125993
A. Panteleev
MAI (National Research University)
Email: panovskiy.v@yandex.ru
俄罗斯联邦, Moscow, 125993
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