Boulder Nonlinear Systems

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)...

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...

Software described in and associated with the paper"Numerical algorithms and issues concerning the discrete-time optimal projection equations for systems with white parameters", Proceedings UKACC International Conference on Control '98, 1-4 Sept. 1998, University of Swansea, UK, Vol. 2,...


Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter...


Platforms: Matlab

The package contains a simulink model of a mechanism which verify the angle of the road and adjust the torques by giving a angle to a plate located under the load session.this model is not a very complicated one and would be useful to whom want to:1.get familiar with control designs specially PID...


Platforms: Matlab

Neural Network Based Control System Design Toolkit Version 2The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:o Direct inverse controlo Internal model controlo Control by feedback linearizationo Optimal...


Platforms: Matlab

Neural Network Based System Identification Toolbox Version 2The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with neural networks. Several nonlinear model structures based on multilayer perceptron networks are provided and there are also many...


Platforms: Matlab

.m and .mdl files to reproduce figures in the the book, Feedback Control of Dynamic Systems, 4th Ed., Prentice-Hall.


Platforms: Matlab

DISOPE + MOMENTUM + PARTAN Algorithm to improve convergence of a nonlinear dynamic system.Study covers application for chemical process industries, robotics, genomics, etc.


Platforms: Matlab

This toolbox implements the methods of [1] and [2] to design H-infinity controllers for linear spatio-temporally invariant, or multidimensional (MD), systems. Utilities are also provided for the following types of operations on MD systems:1. System description (MD systems are specified via a...


Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of...


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

The program computes the liquid-liquid equilibrium diagrams for a type I ternary system based on the NRTL model. The ternary mixture: water-ethylacetate-acetone is an example of type I systems. The equilibrium diagram is obtained at a temperature of 288.15 K.


Platforms: Matlab

Written for advanced undergraduate students, this book emphasizes the practical application of control systems engineering to the analysis and design of feedback systems.


Platforms: Matlab

Solves nonlinear diffusion equation which can be linearised as shown for the general nonlinear diffusion equation in Richtmyer & Morton [1]. The approach is to linearise the pde and apply a Crank-Nicolson implicit finite difference scheme to solve the equation numerically.Matlab run...


Platforms: Matlab

This estimation method is based on well known paper.J.J. van de Beek, M. Sandell, and P.O. BdoOC?orjesson, `ML Estimation of Time and Frequency OdlT«setin OFDM Systems', IEEE Transactions on Signal Processing, vol. 45, no. 7, pp. 1800{1805,July 1997.


Platforms: Matlab

The enclosed files provide a nonlinear algorithm for controlling dynamical systems, particularly in regimes where linear control methods often fail, such as the targeting of states that are distant in phase space from the system dynamics (e.g., a fixed point at the center of a limit cycle). Four...


Platforms: Matlab

The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~grayscale image, vector ~ color image and matrix~structure tensor). Additive Operator Splitting(AOS) as well as Gaussian regularization are...


Platforms: Matlab

Motion systems are widely used in industry; for instance for robotics and pick-and place units. In most cases they are characterized by a repetitive motion or sequence of motions between fixed positions. The actuator, or motor, is limited in speed and acceleration such that any decent motion...


Platforms: Matlab

Lynch_Chaps.zip contains the MATLAB files, Simulink model files and a Tutorial Introduction to MATLAB for the new book, "Applications of Chaos and Nonlinear Dynamics in Engineering - Vol. 1". The book is published by Springer and edited by S.Banerjee, M.Mitra and L.Rondoni.


Platforms: Matlab