控制器由最优l QR、模糊控制器和滑模自适应调节器组成。
The controller was composed of optimum LQR, fuzzy controller and sliding mode adaptive regulator.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
应用推荐