elltools
279392010-06-18T07:02:07Z2010-06-18T07:02:07ZA small collection of m files for dealing with fitting ellipses to sets of (x,y) data, converting between two different parameterisations of ellipse shape,...
View ArticleBatchLeastSquares(u,y,d,nb,na)
562642016-04-04T09:40:21Z2016-04-04T09:40:21ZThis function estimates the the transfer function coefficients (System Parameters) offline using Batch Least Squares Method.
View Articleweighted least-squares + weighted min-max optimization
214222008-09-12T14:06:03Z2008-09-12T14:06:03ZThis is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 -...
View ArticleFitting a conic to a given set of points using Trust Region method
321092011-07-06T21:59:55Z2011-07-06T21:59:55ZA general conic can be uniquely describe by the following equation up to a scale factor: Ax^2+Bxy+Cy^2+Dx+Ey+F=0Then (A,B,C,D,E,F) is often called algebraic...
View ArticleBatchLeastSquares(u,y,d,nb,na)
562642016-04-04T09:40:21Z2016-04-04T09:40:21ZThis function estimates the the transfer function coefficients (System Parameters) offline using Batch Least Squares Method.
View Articleiterative weighted least squares
650162017-11-09T23:34:46Z2017-11-09T23:34:46Zgauss-newton
View Articlenlsq & 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 ArticleBatchLeastSquares(u,y,d,nb,na)
562642016-04-04T09:40:21Z2016-04-04T09:40:21ZThis function estimates the the transfer function coefficients (System Parameters) offline using Batch Least Squares Method.
View Articleiterative weighted least squares
650162017-11-09T23:34:46Z2017-11-09T23:34:46Zgauss-newton
View Articlenlsq & 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 Articlenlsq & 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 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 ArticleModel Replay
228952010-03-29T09:13:15Z2010-03-29T09:13:15ZThese MATLAB files serve as a graphical user interface for using the APMonitor moving horizon estimation (MHE) feature. The APMonitor executable and example...
View Articlenlsq & 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...
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