Application of a Memetic Algorithm for the Optimal Control of Bunches of Trajectories of Nonlinear Deterministic Systems with Incomplete Feedback
- 作者: Panteleev A.1, Pis’mennaya V.1
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隶属关系:
- Moscow Aviation Institute (National Research University)
- 期: 卷 57, 编号 1 (2018)
- 页面: 25-36
- 栏目: Control in Deterministic Systems
- URL: https://journals.rcsi.science/1064-2307/article/view/220050
- DOI: https://doi.org/10.1134/S1064230718010082
- ID: 220050
如何引用文章
详细
The application of a hybrid memetic constrained minimization algorithm that uses the ideas of evolutionary methods operating the concept of population and the algorithms of simulation and mutual learning of the population’s individuals for designing the optimal control of bunches of trajectories of nonlinear deterministic systems with incomplete feedback is proposed. Memetic algorithms use the concept of meme as a unit of information transmission between individuals of the population. In the proposed algorithm, the meme is a promising solution obtained in the course of executing a procedure to find an extremum. Since the proposed method uses a number of different heuristic procedures for solving the problem, in particular, the simulated annealing, ant colony optimization methods, and the path-relinking procedure for accelerating the search, the algorithm is a hybrid modified one. To demonstrate the efficiency of the proposed approach, the problem of stabilization and attitude control of a satellite is solved and the results are compared with those obtained using the local variation method.
作者简介
A. Panteleev
Moscow Aviation Institute (National Research University)
编辑信件的主要联系方式.
Email: avpanteleev@inbox.ru
俄罗斯联邦, Moscow, 125993
V. Pis’mennaya
Moscow Aviation Institute (National Research University)
Email: avpanteleev@inbox.ru
俄罗斯联邦, Moscow, 125993
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