Recursive least square method was used to adjust the parameters of the PID controller, which was applied in three-element control system of boiler drum level.
利用递推最小二乘法循环调整P ID参数，并将该控制器应用于锅炉汽包水位三冲量控制系统。
Applying the recursive least square method to background rebuild, revising the gain factor and bringing in much information forecast more perfect complex background.
研究了渐消记忆递归最小二乘法在背景建立中的应用，修正增益因子，引入更多的背景信息，对复杂背景进行更加完善的预测建立。
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。
In order to improve the checking efficiency while satisfying the prerequisites for accuracy simultaneously, the recursive least square method is applied to the angular errors checking process.
在满足角位置误差测量精度的情况下，为了提高测试效率，将递推最小二乘法应用于组合测角中。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中，以估计助力电动机的转速。
Using this model and the Recursive Least Square (RLS) method, the model parameters and then the mass to be weighed can he identified from the step response of very short duration.
借助这一模型和递推最小二乘法(RLS)，可以由极短的称重阶跃响应估计出模型参数和被称质量。
Using this model and the Recursive Least Square (RLS) method, the model parameters and then the mass to be weighed can he identified from the step response of very short duration.
借助这一模型和递推最小二乘法(RLS)，可以由极短的称重阶跃响应估计出模型参数和被称质量。
应用推荐