This paper puts forward a parameter self-tuning fuzzy controller based on two neural networks to actualize intelligent control of the activated sludge process.
本文提出一种基于两个神经元网络的模糊参数自校正控制器，实现活性污泥过程的智能控制。
The parameter self-tuning realized by fuzzy inference can make the controller adapt to different control objects and various states.
通过模糊推理实现参数自调整，以使控制器能够适应不同对象和对象的不同状态。
The design of PID parameter controller based on fuzzy self tuning is introduced.
提出了一种模糊自整定PID参数控制器的设计方法。
The intelligent method based on performance feedback and parameter self-tuning controller based on rules have been proposed, which simplify the design of intelligent fuzzy control algorithm.
提出了性能反馈的智能控制方法和基于规则的控制器参数自调整机制等智能控制策略。并简化了智能模糊控制算法的设计。
Feedback control is a parameter self tuning fuzzy controller and the burn through point is calculated by quadratic curve method.
反馈部分为参数自调整模糊控制器，终点的计算采用二次曲线拟合法。
This paper presents a design method of parameter self tuning fuzzy PI controller. Simulations have shown that the controller has good control performances and robustness in much control process.
提出一种参数自校正模糊pi控制器的设计方法，该方法具有算法简单、控制品质较好等优点。
This paper introduces a new fuzzy PID controller which can be used in the automotive engine test bench, the advantage of this PID cont roller lies in the online self-tuning function of PID parameter.
本文提出了一种应用于汽车发动机测试台架的模糊pid控制器，这种PID控制器优点在于PID参数可在线自整定。
Parameter on-line self-tuning fuzzy controller based on genetic algorithm;
提出了一种位置伺服系统速度调节器参数自调整的方法。
Parameter on-line self-tuning fuzzy controller based on genetic algorithm;
提出了一种位置伺服系统速度调节器参数自调整的方法。
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