Claims were made in an article by Wang and Ma in 2013 that they had devised an algorithm for the quaternion LU decomposition that was significantly faster than the LU decomposition implemented in the Quaternion Toolbox for Matlab (QTFM). These claims have been tested and found to be unsupported by Matlab code supplied to the author by Wang and Ma. The author’s tests are presented, and test code...

This note clarifies aspects of impulse invariance and, in particular, the handling of multiple-order poles. The user is currently faced with incorrect formulas and Matlab software. The problems are discussed, and a method valid for any order poles is presented via a numerical example using original Matlab code.

MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applications. Applying parallel processing techniques to improve performance of MATLAB codes has been the goal of many recent works. Most current frameworks require the user to specify parallelism and/or information regarding type/shape of the variables, thereby sacriicing t...

We present details of the 1D PDE solver used in the OpenGamma Platform, showing how it can price European and American options, with and without barrier features. All the results in this paper we generated using MATLAB, and this code is included here www.opengamma.com/downloads/financial-pde-solving-matlab-examples.zip.

Matlab is a popular dynamic array-based language commonly used by students, scientists and engineers, who appreciate the interactive development style, the rich set of array operators, the extensive builtin library, and the fact that they do not have to declare static types. Even though these users like to program in Matlab, their computations are often very computeintensive and are better suit...

The paper presents two recently developed, MATLAB-based analysis tools for real-time control systems. The first tool, called JITTERBUG, is used to compute a performance criterion for a control loop under various timing conditions. The tool makes it easy to quickly judge how sensitive a controller is to implementation effects such as slow sampling, delays, jitter, etc. The second tool, called TR...

MATLAB® has emerged as one of the languages most commonly used by scientists and engineers for technical computing, with approximately one million users worldwide. The primary benefits of MATLAB are reduced code development time via high levels of abstractions (e.g. first class multi-dimensional arrays and thousands of built in functions), interpretive, interactive programming, and powerful mat...

Digital computer simulation is a valuable tool, used for the design, analysis, and testing of complex systems whose behavior cannot be easily evaluated by means of analysis. Simulation includes three main steps, as follows: input data generation, modeling of examined system and performance evaluation with proper visualization. By their very nature, radar data processing algorithms are well suit...

This paper presents real-time digital simulator enabled hardware-in-the-loop (HIL) electrical machine drive lab setup for educational purposes. The objective of this work is to create a platform for laboratory experiments to enhance drive control design and testing. In the proposed setup, an OPAL-RT real-time digital simulator (RT-LAB) is used to implement the desired control schemes for AC and...

A detailed step-by-step approach is presented to optimize, standardize, and automate the process of unmanned vehicle controller design, evaluation, validation and verification, followed by actual hardware controller implementation on the vehicle. The proposed approach follows the standard practice to utilize MATLAB/SIMULINK and related toolboxes as the design framework. Controller design in MAT...