A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
From practical application, adaptive fuzzy identification and control models of proton exchange membrane fuel cell (PEMFC) were developed based on input-output sampled data and experts' experience.
从质子交换膜燃料电池(PEMFC)实际应用的角度出发，应用自适应模糊神经网络技术对PEMFC系统进行建模与控制。
The algorithm principle is based on the input-output signal "s time delay distinction time window as the key parameter, and the detailed signal identification algorithm."
算法以引脚间输入与输出信号之间的延时——判别时间窗作为识别的重要参数，设计了详细的信号识别算法。
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