Non Linear Regression

A gaussian pdf is propagated through the non-linear system and the skewness particularly during the time of bifurcation is observed. To initialize the whole process just run lorenz_att.m. Make sure all the code is in the same directory. The script lorenz_pdf.m saves some images. To modify the... Platforms: Matlab

In this algo, DESA-1 is implemented and the use of NLE operator is visible.DESA-1 is taken and implemented as described by keiser .Non Linear Operators were introduced by Teager and further introduced by Maragos and Keiser.The algo presented here is simple to use ,low in complexity and can be... Platforms: Matlab

This script provides the final interval of uncertainty in which the minima of single variable non linear/linear function. The function should be unimodal in the interval. The script checks the unimodality of the function.User inputs the initial interval and the number of iterations. depending... Platforms: Matlab

It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations. In case no Jacobian vector is presented, then the initial Jacobian vector is estimated by Broyden Method (multivariate secant approach) and it is then updated using the Sherman Morrison... Platforms: Matlab

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle... Platforms: Matlab

The modele pacemaker VI1 is an non linear ODE of 2 variables,V the potential of membrane cell and I1 a current variable of excitation.dV/dt=P(V,I1,K) dI1/dt=Q(V,I1,K) where K is the cardiac vector parameters of dim 8.All the polynomials P and Q are rational coefficients with commun divisor C and... Platforms: Matlab

Frequency response signal analyzer for linear and non-linear control loops and dynamic systems. Simulink model. Sine sweep based similar to dynamic signal analyzers for physical systems. User specifies: freq limits, freq decrement, averages, phase criteria for moving to next frequency, start... Platforms: Matlab

The wheeled mobile robot dynamics are studied from standard papers available on the topic and non-linear feedback linearlization is done to reduce the equations of motion to a second order dynamic equation of the error of position of the wheeled robot. AVI file recording is also available for... Platforms: Matlab

The system of automatic control of vapor pressure in the boiler with the PI-regulator, taking into account the level of delay and non-linear element. Platforms: Matlab

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and... Platforms: Matlab

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation. Platforms: Matlab

Functions NELSONFUN and NELSONFIT evaluate and fit (with non-linear least-squares) the Nelson-Siegel function, a popular yield-curve approximation device. Platforms: Matlab

This script provides the final interval of uncertainty in which the minima of single variable non linear/linear function. The function should be unimodal in the interval. The script checks the unimodality of the function.User inputs the initial interval and the number of iterations. depending... Platforms: Matlab

In a number of vibration applications, systems under study are slightly non-linear. Cascade of Hammerstein models conveniently allows one to describe such systems.The Hammerstein Toolbox provides a simple method based on a phase property of exponential sine sweepsto estimate the structural... Platforms: Matlab

This is the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be used for forecasting purposes. On the zip file there are two... Platforms: Matlab

FDE12 solves an initial value problem for a non-linear differential equation of fractional order (FDE).This is an implementation of the predictor-corrector method of Adams-Bashforth-Moulton described in [1]. Convergence and accuracy of the method are studied in [2]. The implementation with... Platforms: Matlab

MYREGRINV: Resolve a calibration problem (inverse regression problem) that is: to estimate mean value and confidence interval of x since y.This function computes a least-square linear regression using the supplied calibration points and then computes the X values for a supplied y observed vector.... Platforms: Matlab

Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:Carlos F. Borges, A Full-Newton Approach to Separable Nonlinear Least Squares Problems and its Application to Discrete... Platforms: Matlab

This program calculates the roots of a system of non-linear equations in 2 variables. This a script file and you only have to write in the command windows ">>newton2v2", and the program ask for the functions and other elements that are necessary. What I mean "quotes" is single quotes,like this: '... Platforms: Matlab

MYREGCOMP: Compare two linear regression.This function compares two least-square linear regression. Tests are implementes as reported by Stanton A. Glantz book "Primers of biostatistics". This routine uses MYREGR function. If it is not present on the computer, MyregrINV will try to download it... Platforms: Matlab