A new kind of optimal fuzzy PID controller is proposed, which is composed of an on_line fuzzy inference mechanism and a conventional PID controller with incomplete derivation.
提出了一种新的最优模糊pid控制器，它由两部分组成，即在线模糊推理机构和带有不完全微分的常规pid控制器。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
An optimal PID controller is proposed based on fuzzy inference and genetic algorithms, which is called the optimal fuzzy GA PID controller.
提出了一种基于模糊推理与遗传算法的最优PID控制器的设计方法。
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