Nonlinear

This package is a loosely defined collection of tools for application of Python in a laboratory environment. It consists of pure python protocol drivers for various useful devices, including: National Instrument DSTP protocol to interface Python to LabVIEW VXI-11 protocol, to allow python to talk...

In the program, an example from the field of nonlinear chemical dynamics is presented. Governing equation and reaction scheme can be found in G. Nicolis, Dynamique Chimique, Thermodynamique, cindoTetique et mdoTecanique statistique, Dunod, Paris 2005. We use the arc length continuation method to...

The main objective of the tool is to provide better program support for design and simulation of nonlinear control systems in MATLAB/Simulink environment. It is encapsulated as a Simulink library, although besides function blocks designed for Simulink it also contains some applications designed...


Platforms: Matlab

The DynaFit application was developed to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor...


Platforms: Windows

Solves Heat Transfer BVP, IVP, IP problems. Source code + Output files are included. Calculus (level) Programming makes solving partial differential equations, ordinary differential equations and algebraic equations simple. You state the equations, initial conditions, & parameter values and leave...


Platforms: Windows

IT is a C library of mathematical, signal processing, speech processing, and communications classes and functions. It is being developed by researchers in these areas and is widely used by researchers, both in the communications industry and universities. The kernel of the IT library are...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Given mean anomaly and eccentricity of an orbit, eccentric anomaly can be calculated using Kepler's Equation. However, the equation is nonlinear, and an iterative technique must be used. This program uses a fixed-point iterative technique to output eccentric anomaly to a user defined tolerance,...


Platforms: Matlab

Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. It describes useful workflows for approaching the task of data-based modeling using System Identification...


Platforms: Matlab

IT++ is a C++ library of mathematical, signal processing and communication routines IT++ is a C++ library of mathematical, signal processing and communication classes and functions. Its main use is in simulation of communication systems and for performing research in the area of...


Platforms: Windows, Mac, Linux

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

"Dynamical Systems with Applications using MATLAB" covers standard material for an introduction to dynamical systems theory. The text deals with both discrete and continuous systems.There are applications in mechanical systems, chemical kinetics, electric circuits, interacting species, economics,...


Platforms: Matlab

Meep (or MEEP) is a free finite-difference time-domain (FDTD) simulation software. Meep FDTD is a free finite-difference time-domain (FDTD) simulation software package developed at MIT to model electromagnetic systems, along with our MPB eigenmode package. Here are some key features of "Meep...


Platforms: *nix

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal...


Platforms: Matlab

BestCurFit calculates the parameters of 12 curves using the method of Linear Least Squares, fitting each curve to user data. The nonlinear equations are linearized. The obtained parameters are used for following optimization procedure using Simplex and Gauss-Newton algorithm. If it does not...


Platforms: Windows

Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems. Features . Change Log: See ASA-CHANGES that...


Platforms: *nix

These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:http://www.mathworks.com/wbnr30317For other webinars and demos related to System Identification Toolbox, please...


Platforms: Matlab

We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on grayscale images using hit-miss transforms that are...


Platforms: Matlab

Most pH control processes are inherently high nonlinear and uncertainties with large time delay and therefore cannot be adequately controlled with a conventional PI control. In our term project, an approach to pH neutralization process control using switching ADRC with Smith Predictor will be...


Platforms: Matlab

This is a nonlinear system of differential and algebriac equations, that describe the dynamics of a continuous bioreactor. The bioreactor simulates the production of ethanol through yeast fermentation. The model is described in:Z. K. Nagy, Model Based Control of a Fermentation Bioreactor using...


Platforms: Matlab

JMCAD is an program for the modeling and simulation of complex dynamic systems. This includes the ability to construct and simulate block diagrams. The visual block diagram interface offers a simple method for constructing, modifying and maintaining complex system models. The simulation engine...


Platforms: Windows