General Linear Model

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...

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...

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

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

Gapcmon is a gtk/glib desktop monitor program for the apcupsd package. Apcupsd interfaces with UPS power systems on local or networked systems. gapcmon connects to apcupsd via the NIS api to collect and displays the current operational state of the UPS. A Gtk2/GLib2 GUI application used to...


Platforms: *nix

The Integrating Vision Toolkit or IVT was designed as a stand-alone, easy-to-use and platform-independent C++ computer vision library. The toolkit features an object-oriented architecture. IVT offers a clean camera interface and a general camera model, as well as many fast implementations of...


Platforms: Windows

This is a general purpose controller that I have built using the Fuzzy Logic Rules. You don't need to have any mathematical background in fuzzy logic to run this model.You don't need to have fuzzy logic toolbox to run it aswell.It contains both linear and a nonlinear examples. It also has a read...


Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

The Ejs Duffing Oscillator model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya*t), where each prime denotes a time derivative. The simulation displays the solution as well as the phase space and Poincare plots, and energy diagram....


Platforms: Mac

The Einstein Cannon model computes and displays the trajectory of cannonballs (particles) shot from a cannon in the vicinity of a black hole. It was created for the study of Einstein's theory of general relativity and the Schwarzschild metric. The main window displays a map of space in the...


Platforms: Mac

The Ejs Duffing Phase model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the evolution of a group of oscillators with similar initial parameters on a phase...


Platforms: Mac

The Ejs Duffing Chaos model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays two solutions with different initial positions and a plot of phase. The evolution...


Platforms: Mac

The Ejs Duffing Poincare model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the solution Poincare plot. The evolution parameters can be changed via textboxes....


Platforms: Mac

The Ejs Duffing Attractor model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN* x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays a three-dimensional plot of phase space versus angle and three Poincare plots...


Platforms: Mac

Linear Program Solver is a small, simple, very easy to use tool specially designed to help you solve linear programming models. This tool offers: informative solving reports, extended sensitivity analysis, mixed integer models engine. LiPS supports MPS format and simple LP format (like...


Platforms: Windows

function [P R]=Global_Moupfouma(Rzz1,ClimZone)Function implementing the Global Moupfouma model,As per Electronic Letters paper "Point Rainfall rate cumulativedistribution valid at various locations"F. Moupfouma and L. Martin, EL, Vol.29, No.17, Aug. 1993InputsRzz1: Rain rate value exceeded 0.01%...


Platforms: Matlab

This ZIP file contains the nonlinear model of anF-16 fighter aircraft in MATLAB/Simulink, Both high-fidelity and low-fidelity aerodynamic data are available, taken from NASA report 1538 and "Aircraft Control and Simulation" by Lewis & Stevens.A trim function is also included.F16dyn.c and...


Platforms: Matlab

This submission provides the files used in the webinar presentation, "Model-Based Design of Landing Gear".In this presentation, we demonstrate how Model-Based Design (MBD) can be used for the development of flight landing systems. We create and show flight simulations of landings of NASA?s HL20...


Platforms: Matlab

Today safety critical flight control systems are tested using model based approach. The model blocks are proprietary and seldom shared in the open. A benchmark problem was designed as part of a research activity to test out certain test case generation techniques. This model was also used as a...


Platforms: Matlab

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting...


Platforms: Matlab