Fit Models

Baseline Fit each column in "x".There did not seem to be a similar function in th file exchange. This routine is simply a wrapper for two Matlab routines, interp1 and ginput.Syntax: [ycorr,yfit] = bf(y,pts,avgpts,method,confirm); ycorr = bf(y); ycorr = bf(y,method); A baseline fit is interpolated...

A common task in Simulink is to test a certain component of a larger model. With large-scale modeling, such componentization is often accomplished through the use of model reference. These large models also often use bus signals to organize large amounts of signals in the model. The situation at...

With improvements in signal processing some new models with enhanced features are made available.TVAR is on similar pattern.This model is better than conventional am-fm model in some respect as it facilates the implementation of same algo on various signals bearing different parameters. Use of...


Platforms: Matlab

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas.,...


Platforms: Matlab

Tired of adding "To Workspace" or Display blocks when debugging your models?In this case, SIMLOG is for you. Select which signals to log, either individually or complete subsystems. After execution of the model, signals can quickly be inspected by selecting the signal in the model and click the...


Platforms: Matlab

A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post...


Platforms: Matlab

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data...


Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND...


Platforms: Matlab

To have access to JSBSim aircraft models, you must download JSBSim seperately!! Instructions in README file!!! Contains S-Function and source code.Based on JSBSim MEX-Function project by Agostino De Marco.Any JSBSim aircraft model will run!


Platforms: Matlab

Airlib is a library of aircraft models to be used with Simulink 3.1 (MATLAB 5.3) or later (tested on 6.1 & 6.5).It is based on two basic blocks that implement a continuous-time and a discrete-time nonlinear general aircraft model. Both blocks are largely based on the FDC toolbox, written by Marc...


Platforms: Matlab

variogramfit performs a least squares fit of various theoretical variograms to an experimental, isotropic variogram. The user can choose between various bounded (e.g. spherical) and unbounded (e.g. exponential) models. A nugget variance can be modelled as well, but higher nested models are not...


Platforms: Matlab

The models simulates digitally controlled buck converters. There are two files; one with load transients and other without load transients.


Platforms: Matlab

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system.


Platforms: Matlab

process from the Book of Smith, Corripio - Automatic Process ControlContent:+ m-file linearization of nonlinear model+ m-file definition of the nonlinear model+ simulink models for the simulation of the process


Platforms: Matlab

It is a tool of quantitative models to handle differenttypes of problems and help decision making. This is doneusing an algorithm to solve the transport problemthe Northwest Corner Method.


Platforms: Matlab

Genetic Programming (GP) generates nonlinear input-output models of dynamical systems from input-output measurement data. This GP-OLS toolbox applies Orthogonal Least Squares algorithm (OLS) to improve the search effeciency of GP.It can be used for static equation discovery or structure...


Platforms: Matlab

content:+ m-file of the nonlinear model+ m-file linearization+ simulink models for the simulation system


Platforms: Matlab

Model Predictive Control based on linear models is widely used in the process Industry.A function is provided to fit a local linear model to a data set so that the model obtained is designed to perform predictions within a prediction window. The model is commensurate with the MPC control cost...


Platforms: Matlab

Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review...


Platforms: Matlab

The user has to provide the program the constants and parameters of the models using a dialog box. A pop-up menu and an update button allow the user to select the plot (Txy, activity coefficients and relative volatility).A similar program using Mathematica 6.0 is available at the following...


Platforms: Matlab