Combine blur control with general PID control, on line self-adjusting PID parameters according to different error and error variety-rate, which is called PID parameters self-tuning blur controller.
将模糊控制与常规pid控制相结合，根据不同的误差、误差变化率对PID的参数进行在线自动调整，这就是PID参数自整定模糊控制器。
A self adjusting fuzzy controller with on line adjustment of proportional factor and quantifying factor was proposed.
在常规的模糊控制器上提出一种在线修正因子和量化因子的自调整模糊控制器。
The controller achieves the adaptation of normal PID controller parameters on line by fuzzy inferences.
该控制器通过模糊推理实现PID控制器参数的在线调整。
Verify ac line voltage phase and frequency with the controller data plate on the enclosure door prior to connecting ac power.
在连接交流电源之前，请验证交流电压、相位和频率是否与控制装置外壳门参数板上的相应数据相同。
As for the fuzzy controller, the rule is depicted with analytic form and changed through self-regulating correction factor on line, so that it ADAPTS the system dynamic process.
所设计的自组织模糊控制器，其模糊控制规则用解析形式进行描述，并通过修正因子的在线调整而改变，适应了系统动态响应的过程。
This paper presents a new generalized predictive self-tuning controller and its successful application on the machine direction distribution control of a polyster film spread line.
本文给出了一种新型的广义预测自校正控制器及其在涤纶薄膜拉伸生产线上的纵向分布控制中的成功应用。
The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.
并用这种改进的共轭梯度法对神经网络PID控制器参数实现在线修正。
The controller can learn, on line, the control rules of the complex dynamic process with multivariable coupling, nonlinear and uncertainty, so that the PID parameters are tuned automatically.
该控制器利用神经网络在线学习具有多变量耦合、非线性及不确定性的复杂的焊接动态过程的控制规则，实现PID参数的自动整定。
The technical route of using fuzzy control for control of vibration cycle is put forward, and a fuzzy controller whose parameters can be optimized on line is designed.
提出了振动周期控制采用模糊控制的技术路线，设计了参数因子在线自整定的模糊控制器。
First, a study of a sliding mode controller under on off training is made and then the on line learning algorithm using a gradient decent method is designed.
首先研究了离线训练的滑模控制器，然后，给出了利用梯度下降法的在线训练方法。
This paper describes an on - line controller for the fast and flexible control of the HVDC transmission system based on fuzzy logic and ANN.
提出了一种适用于高压直流输电系统快速灵活控制的在线模糊神经直流控制器。
Through combining Fuzzy logic with PID controller and adjusting control parameters in on-line ways, it can perfect the properties of PID controller and improve the precisions of control system.
接着将模糊控制器和PID控制器通过自适应因子结合起来，在线自调整控制参数，进一步完善了PID控制器的性能，提高了系统的控制精度。
A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brushless DC motor speed control system.
通过设计一种模糊pid控制器，应用模糊算法在线自动整定PID参数的方法，将其应用于无刷直流电动机调速控制系统。
The design of controller is based directly on pseudo- partial-derivatives (PPD) derived on-line from the input and output information of the system using a novel parameter estimation algorithm.
控制器的设计是直接基于称为伪偏导数的向量，伪偏导数是通过新型参数估计算法，根据给出的永磁直流直线电机非线性系统模型的输入输出信息在线导出的。
Baed on the Robust tuning method of conventional PID controller, a new on-line PID self tuning method is put forward.
在常规pid控制器的控制参数的鲁棒整定法基础上，提出了一种新的PID在线整定改进方案。
Second, the adaptive interpolate controller was built up with the on-line identification method.
其次，引入在线辨识方法，构造出自适应插补控制器。
And in the fuzzy controller on-line interpolation of the self-tuning gene fuzzy model is employed to improve the self-adjusting abilities of the control rules.
在模糊控制器中又通过自调整修正因子模糊数模型的在线插值方法提高了控制器规则的自调整功能。
This controller is implemented via indirect algorithm and can on-line choose the weighting terms in the quadratic cost function.
该控制器采用间接算法实现，在线选择二次型性能指标中加权项。
By introducing an inserting-value algorithm on line, the stability of the ordinary fuzzy controller is improved, the adjusted died-zone of the ordinary fuzzy controller is eliminated.
普通模糊控制器引入在线插值算法，改善了普通模糊控制器的稳态性能，消除了普通模糊控制器的调节死。
The paper deals with the on line model, control strategy of smart rotor blades and controller realization.
研究了智能桨叶的实时模型、控制方法与控制器的实时实现。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
An adaptive fuzzy controller is presented for a class of complicated system in which the controlled variables cannot be continuously measured on line.
针对一类被控变量不能直接连续测量的复杂系统，提出一种自适应模糊控制方法。
The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.
利用神经元的自学习功能实现神经元控制器的在线学习，并以神经元控制器作为交流伺服系统的位置调节器；
The highlight of this method is that the controller does not require on-line optimization and the huge calculation burden can be avoided.
该控制器并不要求进行在线优化计算，从而避免了繁重的计算负担。
In order to improve the track accuracy of the system, the on-line identification parameter method is used and the parameters of controller can be corrected instantly.
为了提高系统的跟踪准确度，笔者提出在线辨识参数的改进无差拍控制策略。
Design of a unmanned helicopter command controller using combination of dynamic inversion and a on line neural network is presented.
使用动态逆和在线神经网络相结合的方法设计了无人直升机的指令控制器。
The controller contains two parts, one is a conventional PID controller and another is an on-line fuzzy inference mechanism.
该控制器由两部分组成，一部分是常规PID控制器，另一部分是在线模糊推理机构。
The controller contains two parts, one is a conventional PID controller and another is an on-line fuzzy inference mechanism.
该控制器由两部分组成，一部分是常规PID控制器，另一部分是在线模糊推理机构。
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