Nonlinear

Single tank system nonlinear model was develop & finding the operating point of it using script file of the matlab with solving of ode for it and ploting the response Platforms: Matlab

The proportional, integral and differential terms of PID control are modified by simple nonlinear terms, depending on the error.That makes the control faster, more precise and more robust.This was tested and proven at the control lab of the Munich University of Applied Science. Platforms: Matlab

This package contains three files:pptime.m : main file, makes a colored phase plot. Color represents time.pptime_demo.m : demo file, run first in order to see how the program workspend1.m : odefun for damped nonlinear pendulum modeWritten and tested in Matlab R14SP2 Platforms: Matlab

The program computes the velocity and temperature profiles for free convection past an isothermal vertical plate. Results are obtained after solving two coupled nonlinear differential equations. The shooting method is used to obtain the boundary conditions, required to solve the coupled ODEs,... Platforms: Matlab

The five programs provided solve several process design problems. These examples were originally provided as applications of process design optimization by Edgar, Himmelblau and Lasdon in their excellent book entitled Optimization of Chemical Processes, McGraw-Hill International Edition, 2001.... Platforms: Matlab

This 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 - beta)*(max(W_mm*F(X)))subject to: A*X 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

WARP3D is under continuing development as a research code for the solution of very large-scale, 3-D solid models subjected to static and dynamic loads. Some features in the code oriented toward the investigation of fracture in metals include a robust finite strain formulation, a general... Platforms: Mac

A plug-in for Abaqus FEA with empiric data for many types of materials (linear, nonlinear, ortotropic). A simple GUI for creating properties for common materials and sections for bulk and shells. Platforms: Windows, Mac, Linux

Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position.... Platforms: Matlab

SIMPGRIDSEARCH Multi-dimensional unconstrained nonlinear minimization using grid search + Simplex method. X = SIMPGDSEARCH(OBJFUN,GDVALUES) returns a vector X that is a minimizer of the function described in OBJFUN (usually an m file: OBJFUN.M).See OBJFUN_DEMO.M for how to write an objective... Platforms: Matlab

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S... Platforms: Windows

ENZyme KINetics is the study of the chemical reactions that are catalysed by enzymes. In enzyme kinetics the reaction rate is measured and the effects of varying the conditions of the reaction investigated. Studying an enzyme's kinetics in this way can reveal the catalytic mechanism of this... Platforms: Matlab

QUADPROG2 - Convex Quadratic Programming SolverFeaturing the SOLVOPT freeware optimizerNew for version 1.1:* Significant speed improvement* Geometric Preconditioning* Improved Error CheckingUSAGE:[x,v] = quadprog2(H,f,A,b)[x,v] = quadprog2(H,f,A,b,guess)[x,v,opt] = ...Minimizes the function v =... Platforms: Matlab

A Kirchhoff elliptic vortex is a 2D elliptical region (or d-deDUpatchd-deDt) of uniform vorticity embedded in an inviscid, incompressible and irrotational fluid. G. Kirchhoff showed that these are exact solutions to the nonlinear Euler equations in 1876.Subsequently, A. E. H. Love analyzed the... Platforms: Matlab

Spanish Tutorial on Neural Control. For academic and educational purposes only.This tutorial presents the implementation of neural networks in control of a flexible swivel non-linear dynamics. Neural networks are trained offline to identify how the system by obtaining the direct and inverse model... Platforms: Matlab

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x)... Platforms: Matlab

L-BFGS-B is a collection of Fortran 77 routines for solving nonlinear optimization problems with bound constraints on the variables. One of the key features of the nonlinear solver is that the Hessian is not needed. I've designed an interface to the L-BFGS-B solver so that it can be called like... Platforms: Matlab

The function The LMFnlsq.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago (see the Reference). This version of LMFnlsq is... Platforms: Matlab

DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string... Platforms: Windows