This paper introduces a control algorithm for self-tuning adaptive controller.
介绍了一种自校正自适应控制器的控制算法。
This paper introduced a control algorithm for self-tuning adaptive controller.
本文介绍了一种自校正自适应控制器的控制算法。
The self-adaptive theory is introduced into the control system and parameters of the PID controller are adjusted automatically under the self-tuning PID control law.
把自适应控制理论引入到微驱动器的控制中，在参数自校正PID控制律的作用下，实现了PID控制器参数的自动整定。
A kind of structure adaptive self tuning controller is proposed, which is composed of the varying order recursive least square method and a varying structure control law.
针对时变结构系统提出一种结构适应式自校正控制器，它由变阶式递推最小二乘法和变结构控制律组成。
A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller.
针对仿真转台系统的时变性、模型的不确定性等特点，提出采用基于遗传算法的PID自适应控制器，实现控制器参数的在线自寻优。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
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