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.
将基于滑模控制的自学习模糊控制应用于挠性卫星的姿态稳定控制中。
The self-learning fuzzy control based on sliding mode control is applied to the attitude stabilization of flexible satellites.
本文通过简化模糊控制算法中的模糊关系，建立了一种运算量少，易于实现实时控制的自学习模糊控制算法。
A self learning fuzzy control algorithm is presented in this paper. The algorithm with a simplified fuzzy relation can save computation.
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