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首页> 外文期刊>International journal of systems science >Minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach
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Minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach

机译:基于遗传规划的非线性系统的极小极大控制设计:荣格的集体无意识方法

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摘要

When it comes to the minimax controller design, it would be extremely difficult to obtain such controllers in nonlinear situations. One of the reasons is that the minimax controller should be robust against any kind of disturbances in the nonlinear situations. In this paper, we propose a new type of design method of minimax control problems. More precisely, based on the genetic programming and the collective unconscious of Jung, this paper presents a simple design technique to solve the minimax control problems, where the minimax controller may be constructed only paying attention to the minimization process. It would be surprising if the maximization process is not needed in the construction of minimax controllers. Some simulations are given to demonstrate the effectiveness of the proposed design technique with the identification problem and minimax control problems.
机译:当涉及到minimax控制器设计时,在非线性情况下获得此类控制器非常困难。原因之一是minimax控制器对于非线性情况下的任何干扰都应具有鲁棒性。本文提出了一种最小极大控制问题的新型设计方法。更确切地说,基于遗传规划和荣格的集体无意识,本文提出了一种解决最小极大控制问题的简单设计技术,其中仅考虑最小化过程即可构造最小极大控制器。如果在minimax控制器的构造中不需要最大化过程,那将是令人惊讶的。给出了一些仿真来证明所提出的设计技术在识别问题和最小极大控制问题上的有效性。

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