Ho, On-line estimation of the final prediction error via recursive least squares method, Neurocomputing, No. 69, pp.2420-2424, 2006.Sum J. and K. Ho, On-line estimation of the final prediction error via recursiv
In particular, we encountered this singular situation when we developed a sample-based adaptive version of the superexponential method for the blind deconvolution of multi-input–multioutput (MIMO) s...D.-Z. Feng, H.-Q. Zhang, X.-D. Zhang, and Z. Bao, "An ex- tended recursive least-...
3.Then a state-action value function in learning system is assumed as the linearly weighted sum of the given geodesic Gaussian basis functions,and a recursive least squares method is used to update the weights in an on-line and incremental manner.然后,假定强化学习系统的状态—动作值函数是给定测...
Recursive Least Squares Parameter Estimation Function + Example. Follow View License Share Open in MATLAB Online Download This function estimates the transfer function coefficients (System Parameters) "online" using Recursive Least Squares Method.
In both approaches, the scientists implemented the recursive least squares (RLS) algorithm for anomaly detection. RLS is an adaptive filter method used in signal processing and control systems to minimize the error between a desired signal and an estimated signal. ...
6) recursive least squares method 递推最小二乘法 1. Based on system identification withrecursive least squares method,the NLJ optimizing algorithm is used to tune the PID control parameters. 在运用递推最小二乘法在线辨识系统模型参数的基础上,采用NLJ方法(随机数直接搜索法)以ITAE(时间乘误差绝对积分...
The RLSA method is found to be more accurate than the conjugate gradient method for these special test casesdoi:10.1080/10407789608913861Ji, Ching-ChinaJang, Horng-YungTaylor & Francis GroupNumerical Heat Transfer
5) recursive least squares method 递推最小二乘法 1. Based on system identification withrecursive least squares method,the NLJ optimizing algorithm is used to tune the PID control parameters. 在运用递推最小二乘法在线辨识系统模型参数的基础上,采用NLJ方法(随机数直接搜索法)以ITAE(时间乘误差绝对积分...
the curve of the relative intrusion displacement Through the recursive least squares method with forgetting factor to estimate, the forgetting factor was taken as 0.98, and the initial value of the estimated parameters were such as the follows: Then, the results were as shown in Fig .7 to Fig...
1.least squares collocation最小二乘配置法,最小二乘拟合推估法 2.truncated 2 SLS截断二段最小二乘法 3.least-square best fit最小二乘方最佳拟合 4.weighted least square criterion加权最小二乘方准则 5.standard damped least-squares method标准阻尼最小二乘方法 6.generalized least squares estimator广义最...