We come up with a new method to optimize the fuzzy logic controller, which makes the controller approach to the most optimization, and ensure the stability of self-tuning control.
文中提出了一种优化设计方法，使模糊控制性能接近最优，并保证了自适应控制的稳定性。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
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。
A method is presented for control parameters self-optimization of fuzzy controller in order to obtain a optimal fuzzy controller.
针对模糊控制器中的控制参数提出了一种自寻优方法，可获得一个基于一定性能指标的最优模糊控制器。
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