Optimal Optimus

The 2-column vector contains cities' coordinates. The algorithm generates the optimal path to visit all the cities exactly once, and return to the starting city.The algorithm has its limitations, and based on the cities' distribution on the map it may or may not give the optimal solution.It...

The goals of this project are to:o Used ERA to investigate/estimate model order (degree) and State Space Modelo Compare Power Curves of identified model and Manufactures specificationso Estimated/predicted output power based on wind speed input (ARX and ARMAX)o Identify a SkyStream3.7 Wind...

GRANGER_CAUSE is a Granger Causality Test. The null hypothesis is that the y does not Granger Cause x. A user specifies the two series, x and y, along with the significance level and the maximum number of lags to be considered. The function chooses the optimal lag length for x and y based on the...


Platforms: Matlab

As the power needed to transmit a certain number of bits ina subcarrier is independent of the numbers of bits allocated toother subcarriers, it turns out that a greedy approach is optimal.A greedy algorithm assigns bits to the subcarriers one bit at atime, and in each assignment, the subcarrier...


Platforms: Matlab

With this package, I provide some MATLAB-functions regarding the rectangular assignment problem. This problem appears for example in tracking applications, where one has M existing tracks and N new measurements. For each possible assignment, a cost or distance is computed. All cost values form a...


Platforms: Matlab

Most PID tuning rules are based on first-order plus time delay assumption of the plant hence cannot ensure the best control performance. Using mordern optimization techniques, it is possible to tune a PID controller based on the actual transfer function of the plant to optimize the closed-loop...


Platforms: Matlab

This program uses an Excel data file "DATA.xls" as an input to the program. the input file consists these worksheets: 1.input load data (active power of each load block and their X-Y cooedinates 2. present transformers and their capacities in kVA 3. candidate points for new transformers 4....


Platforms: Matlab

This package includes a Simulink model of the evaportaor described by Newell and Lee (1989) together with a gradient control system which achieves self-optimizing operation in terms of minimizing the operation cost. The work has been published in International Journal of Automation and Computing,...


Platforms: Matlab

This software contains one example taken from the reference paper given with this program.By running the program detest1.m as they are in the default deevol1 folder the economic dispatch problem can be solved. A six bus system with Bmn coefficients is considered for simulations The allocation...


Platforms: Matlab

auction_match: Compute optimal (maximal) weighted assignment and the corresponding "lattice of dual prices" supporting the optimal assignment. auction_match(disMatrix) computes the optimal assignment for the given rectangular value matrix, for example the assignment of bidders (in rows) to...


Platforms: Matlab

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

Many image processing applications require an extensive usage of FFT2 routine (or, in the most general case, a N-dimensional FFT) of matrices having the same dimensions. In these cases MATLAB FFT2 can result extremely inefficient. In general the execution time can be significantly reduced by...


Platforms: Matlab

TableDemo.m contains all of the code necessary to duplicate the analysis performed in the "Generating Optimal Tables using MATLAB Products" webinar including:Code to optimize the location of break points in a tableCode to generate contour maps of the residuals


Platforms: Matlab

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial...


Platforms: Matlab

This is a GUI for Riccati formulation and H-infinity and H-2 Norms calculation for Robust Control.


Platforms: Matlab

A MATLAB toolbox for the design of discrete-time H2- and Hinf-optimal preview controllers within a generalised regulator framework.Latest code can be downloaded via subversion. See:http://code.google.com/p/preview-control-toolbox/The core algorithms were developed during the course of Andrew...


Platforms: Matlab

sysshift checks whether two matrix M1 and M2 are systematically shifted against each other by calculating correlations across a range of shifted origin. This is helpful e.g. if two different digital elevation models of the same area are to be tested for systematic misregistration.At this point,...


Platforms: Matlab

The sixth MATLAB Programming Contest, Protein, will run from November 6-13, 2002.This contest concerns a very simplified two-dimensional version of the protein folding problem. Given the amino acid sequence of a simplified protein, your job is to determine a final "optimally folded"...


Platforms: Matlab

Classical optimal hedge ratio concentrates on risk reduction and neglects strategic value maximization. In this study, the authors use stochastic-optimization theories to formulate an optimal, short-term hedging scheme to mitigate risks while maximizing portfolio value. Stochastic spot and...


Platforms: Matlab

This contest concerns a very simplified two-dimensional version of the protein folding problem. Given the amino acid sequence of a simplified protein, your job is to determine a final "optimally folded" configuration. Each potential arrangement of the protein sequence is associated with an energy...


Platforms: Matlab