nlsq & nnnlsq Least squares
526162017-12-31T05:47:24Z2017-12-31T05:47:24ZRobust & non negative non linear least squares: nlsq & nnnlsqnlsq Robust non linear least squares uses singular value decomposition and attempts a...
View ArticleDynamic Systems Identification (Polynomial Models)
1802792025-04-14T11:36:51Z2025-04-14T11:36:51ZDynamic Systems Identification (Polynomial Models)The dsi class is an advanced tool designed for Dynamic Systems Identification of polynomial models. Its...
View Articlefits(f,xd,yd,p0,n,m)
721132019-07-10T23:00:11Z2019-07-10T23:00:11ZParameter Fitting: given a model function f(x,p), this program finds the minimizer of F(p) = norm(d,n), where d = error vector Usage: Least squares...
View ArticleAhmed-ElTahan/Deterministic-Batch-Least-Squares
561972016-03-28T12:24:47Z2016-03-28T12:24:47ZThis function is intended to estimate the parameters of a static system such as a polynomial fitting or dynamic system such as transfer function of unknown...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleParameter Extraction using Least Squares
624182017-04-04T22:07:54Z2017-04-04T22:07:54ZThis Parameter extraction code fits a known model to a given measurement data in least-squares sense. It is generalized for any number of variables and...
View ArticleLeast Squares using Cholesky Decomposition
599692018-06-29T17:21:39Z2018-06-29T17:21:39ZThis function computes the n-dimensional column vector x that minimizes norm(b-A*x), where A is an m-by-n coefficient matrix and b is the m-dimensional...
View Articlevarcov
723722019-08-05T20:17:16Z2019-08-05T20:17:16ZVARCOV calculates the variance-covariance matrix for a regression created with the Matlab |fit| function. This matrix is not otherwise directly accessible...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Modified-Extended-Least-Squreas-RMELS
562032016-07-08T08:28:36Z2016-07-08T08:28:36Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleParameter Extraction using Least Squares
624182017-04-04T22:07:54Z2017-04-04T22:07:54ZThis Parameter extraction code fits a known model to a given measurement data in least-squares sense. It is generalized for any number of variables and...
View ArticleLeast Squares using Cholesky Decomposition
599692018-06-29T17:21:39Z2018-06-29T17:21:39ZThis function computes the n-dimensional column vector x that minimizes norm(b-A*x), where A is an m-by-n coefficient matrix and b is the m-dimensional...
View ArticleRecursive Least Squares
563602016-04-04T21:55:01Z2016-04-04T21:55:01ZThis function estimates the transfer function coefficients (System Parameters) "online" using Recursive Least Squares Method.
View ArticleAhmed-ElTahan/Stochastic-Recursive-Modified-Extended-Least-Squreas-RMELS
562032016-07-08T08:28:36Z2016-07-08T08:28:36Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleLeast Squares using Cholesky Decomposition
599692018-06-29T17:21:39Z2018-06-29T17:21:39ZThis function computes the n-dimensional column vector x that minimizes norm(b-A*x), where A is an m-by-n coefficient matrix and b is the m-dimensional...
View ArticleAhmed-ElTahan/Deterministic-Batch-Least-Squares
561972016-03-28T12:24:47Z2016-03-28T12:24:47ZThis function is intended to estimate the parameters of a static system such as a polynomial fitting or dynamic system such as transfer function of unknown...
View Articlevarcov
723722019-08-05T20:17:16Z2019-08-05T20:17:16ZVARCOV calculates the variance-covariance matrix for a regression created with the Matlab |fit| function. This matrix is not otherwise directly accessible...
View ArticleLeast Squares using Cholesky Decomposition
599692018-06-29T17:21:39Z2018-06-29T17:21:39ZThis function computes the n-dimensional column vector x that minimizes norm(b-A*x), where A is an m-by-n coefficient matrix and b is the m-dimensional...
View Articlefits(f,xd,yd,p0,n,m)
721132019-07-10T23:00:11Z2019-07-10T23:00:11ZParameter Fitting: given a model function f(x,p), this program finds the minimizer of F(p) = norm(d,n), where d = error vector Usage: Least squares...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Modified-Extended-Least-Squreas-RMELS
562032016-07-08T08:28:36Z2016-07-08T08:28:36Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleParameter Extraction using Least Squares
624182017-04-04T22:07:54Z2017-04-04T22:07:54ZThis Parameter extraction code fits a known model to a given measurement data in least-squares sense. It is generalized for any number of variables and...
View Article
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