Using Vernier Calipers

The control of both bottom and distillate compositions is achieved by using conventional two point feedback control (WoodandBerry1) and non-interacting control (WoodandBerry2). Because of coupling, conventional control has a poorer performance when compared to the non interacting control system....

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...

The file demonstrates interfacing Java with Matlab by using weka (Machine learning software, written in JAVA) as an example.


Platforms: Matlab

In the programs, we perform flash calculations of a mixture of hydrocarbons (ethane, propane, n-butane and n-pentane) using the Rachford-Rice equation. The phi-phi method, based on the SRK equation of state, is used to compute the equilibrium constants. We also find the True Vapor Pressure. All...


Platforms: Matlab

Single tank nonlinear model using simuling and linearization of it to find the transfer funtion. Response ot the linear and nonlinear system comparision


Platforms: Matlab

An example to price an Arithmetic Average fixed strike Call option in the Black-Scholes framework using Monte Carlo Control Variate


Platforms: Matlab

Character Recognition Using Neural NetworksSteps to use this GUI.1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press...


Platforms: Matlab

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

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

A simple Bayesian Network example for exact probabilistic inference using Pearl's message-passing algorithm on singly connected graphs.


Platforms: Matlab

Mackey-Glass Time Series Forecasting using Wang-Mendel Method


Platforms: Matlab

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create...


Platforms: Matlab

hi,I want to track object using kalman filter as real time..not I connect my webcam and I have kalman filter code in matlab...the kalman filter code is working while the system is not real time..I mean when I appled the code on the image sequence.. it works.. itcan detect moving object and draws...


Platforms: Matlab

A demo program of image edge detection using ant colony optimization.


Platforms: Matlab

in general the power system has the mutual branches and it becomes difficult to form the y bus using the inspection method, so one is to go for singular transformation method.


Platforms: Matlab

Demo files from the 30 August 2007 Webinar - Reliability Analysis and Robust Design using MATLAB(R) Products"Webinar direct link: http://www.mathworks.com/wbnr14894You will need MATLAB and Statistics Toolbox, Optimization Toolbox, and Simulink to run the Demo.


Platforms: Matlab

Two applications to set up Analog Computer using operational amplifiers have been shown here using Simscape 2.1 version. The applications solvei) Simultaneous Equations X+Y=2; 2X+Y=2.5 andii) Differential Equation m(d^2x/dt^2)+b(dx/dt)+kx=F(t) with inputs m=2; b=0.7; k=1 and F(t)=0.5.The results...


Platforms: Matlab

Deterministic unconstrained optimization method using Powell.


Platforms: Matlab

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The...


Platforms: Matlab

This code identifies an ARX model of a system using Genetic Algorithms method in a GUI interfcae and compares the identified model with the model generated using the Least Error method.The real system O/P, GA model generated O/p and Least Error model O/P are all compared in a single plot, while...


Platforms: Matlab