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1)  recursive least squares identification
递推最小二乘辨识
2)  recursive least square
递推最小二乘法
1.
To overcome the large memory expense in the process of on-line identification by utilizing support vector machine(SVM), least squares support vector machine (LS-SVM) was combined with recursive least square(RLS), the weigh vector and bias were adjusted on-line by RLS algorithm, and on-line identification of inverse dynamic model of system was realized.
为克服支持向量机(support vector machine,SVM)在线辨识过程需要较大的内存开销的问题,该文将递推最小二乘法(recursive least square,RLS)与最小二乘支持向量机(least squares support vector machine,LS-SVM)回归相结合,利用RLS在线调整支持向量机的权向量和偏移量,实现了系统逆动力学模型的在线辨识。
2.
The recursive least square can regulate the Q and R matrix dynamicly and rapidly.
针对Riccati方程中系数矩阵Q和R的调整需凭经验和多次试凑的不足,采用递推最小二乘法对系数矩阵进行在线调整,使系数矩阵的参数进行在线优化,更好地发挥了LQR控制器的优势。
3.
Firstly,the method establishes a heat balance model through modifying the parameter of academic reac- tion heat balance expressions using the recursive least square method.
提出了一种吹炼剩余热组合预测模型,以便能根据剩余热准确确定冷料的加入量,提高冷料的使用率;首先,基于吹炼的化学反应过程得到的剩余热计算公式,采用递推最小二乘法,修正剩余热计算公式,建立热量衡算模型;然后,利用递推最小二乘法,修正剩余热计算经验公式;最后采用组合预测算法综合集成两种模型作为剩余热计算的预测模型;实际应用结果表明:利用集成方法建立的预测模型的相对误差控制在10%的波动范围内,具有较高的预测精度。
3)  RLS
递推最小二乘法
1.
Application of RLS in warning controller;
递推最小二乘法在警戒控制器上的应用
2.
RLS parameter identification and emulate based on matlab/simulink;
基于MATLAB的递推最小二乘法辨识与仿真
3.
Its parameters are identified with the Recursive Least Square method(RLS).
建立了水轮机调节系统被控对象的非线性模型,用递推最小二乘法(RLS)对被控对象进行参数辨识。
4)  recursive least squares method
最小二乘递推
1.
By analyzing the several situations of the vehicle movement,using the recursive least squares method and the generalized least square error method,an adaptive controller of vehicle s acceleration was designed.
利用最小二乘递推算法和广义最小方差控制率设计了针对车辆加速度控制的自适应控制器。
5)  recursive least square algorithm
递推最小二乘法
1.
Then,the coefficients of consequent components in T-S fuzzy logic controller were to be determined with recursive least square algorithm for the empirical data while the membership function parameters of input variable were unaltered.
此方法分为三个阶段,第一阶段依据输入变量的范围来确定输入变量的高斯型隶属度函数;第二阶段在不改变输入变量隶属度函数的前提下,对经验数据施加递推最小二乘法以确定T-S模糊控制器的后件系数;第三阶段,使用梯度下降方法同时优化控制规则的前件参数和后件参数。
6)  RLS
递推最小二乘
1.
A kind of arithmetic of recursive least squares(RLS) method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online.
采用了带遗忘因子的递推最小二乘和基于零频率的模型匹配的联合辨识算法对空调系统进行在线辨识。
2.
The regularized kernel recursive least square (RKRLS) algorithm proposed here applies "Kenel Trick" to recursive least square (RLS) and adopts a regularized method to perfect the target function.
对递推最小二乘(RLS)进行了非线性的核(kernel)变换,并采用正则化技术改写了目标范函,提出了一种正则核变换递推最小二乘(regularizedkernel,RLS)算法。
3.
Recursive Least Square (RLS) has many shortcomings in identification procedure, such as the model order to be set suitably, limited approximation ability and slow convergence.
递推最小二乘(RLS)存在模型阶次及参数要预先设定、逼近能力有限、收敛较慢等诸多缺陷,本文提出了矢量基学习(VectorBaseLearningVBL)算法。
补充资料:递推辨识算法
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性质:在辨识算法中,一种方法是“一次完成”的参数辨识算法,它是用全部数据进行一次运算得出结果。一般来说,数据愈多,估计精度就越高,这样一次完成计算量很大,不便于在线运动。递推辨识算法就是每取得一组新数据后,在原有估计量的基础上,根据新数据带来的信息,对原估计量进行一些修正,就得到了新的估计量的办法。递推辨识算法是不断地通过修正和迭代完成的,在迭代过程中,估计出的参数值是否随迭代次数的增加而与某个固定值不断地接近,即迭代形成的估计参数的序列是否收敛于某个固定值的性质称为是递推辨识算法的收敛性。

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