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。
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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