本文提出一种基于基因算法优化的自学习模糊控制器的设计。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。
The parameters of new controller can be adjusted on line based on the ability of fuzzy ne ural network.
本文引用人工智能原理，在模糊控制器的基础上，设计出一种自学习智能控制器。
The artificial intelligence principle is introduced. Based on a fuzzy controller, a self-learning intelligence controller is designed.
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