Driving Innovation with MATLAB and Simulink

Alessandro Tarchini, MathWorks Italia

In this keynote talk, Alessandro Tarchini will present his perspectives on key technologies and trends that impact engineering and science. He will highlight trends in computational techniques, system development, and engineering analysis, including MathWorks technologies that are helping to drive innovation in these areas.

Progettazione, verifica e simulazione di ricevitori per applicazioni di sorveglianza elettromagnetica

Fabio Capriati, Daniele Marcantoni, Gianpiero Panci, Elettronica s.p.a.

I moderni sistemi per la guerra elettronica sono sempre più basati sull’elaborazione digitale dei segnali e dei dati; questa evoluzione ha contribuito notevolmente all’incremento delle funzioni e delle prestazioni erogate dai sistemi nonché alla riduzione delle loro dimensioni.

Il processo di sintesi dell’ambiente elettromagnetico, cioè rilevazione ed identificazione e localizzazione delle emittenti, è svolto principalmente attraverso piattaforme firmware e software di elaborazione. In questo processo è di fondamentale importanza la corretta ricezione delle emissioni dalle emittenti e dei relativi parametri caratteristici infatti soprattutto in ambienti densi, tipici di applicazioni militari, la capacità di corretta misura è vitale per la discriminazione delle diverse minacce.

La presentazione verterà sul progetto, sviluppato in Elettronica nel biennio 2008-2009, di un core di misura per ricevitore di tipo “Wide Open” interamente sviluppato, verificato e simulato attraverso l’utilizzo dell’ambiente MATLAB/Simulink e con il tool Xilinx System Generator.

New Surface Fitting and Global Optimization Capabilities for Solving Challenging Data Analysis Problems

This presentation will show you how to overcome two common challenges with model fitting: developing good predictive models when you can’t describe the relationship between your variables, and estimating model parameters for nonlinear regression problems. We will demonstrate how to address these challenges using new capabilities in Global Optimization Toolbox, Statistics Toolbox™, and Curve Fitting Toolbox™.

Symbolic Computing with MATLAB and Simulink

This presentation will show how you can use symbolic computation with MATLAB and Simulink to support modeling, simulation, and embedded system design tasks. Using the notebook interface and other new features in Symbolic Math Toolbox™, we will develop an example wind turbine model, document it, and integrate it with MATLAB for design optimization studies.

Model-Based Design with MATLAB and Simulink – What’s New

This presentation will cover new developments, features, and capabilities in MATLAB and Simulink for using Model-Based Design for signal processing, communications, and controls applications. You’ll hear about developments such as the Embedded MATLAB^® subset for generating embedded C code from MATLAB, PID control for automating control parameter selection, the Simscape™ language for physical system modeling, automatic code generation for FPGAs, and other new features and capabilities.

Introduction to Parallel Computing with MATLAB

This workshop will show you how MATLAB and MathWorks parallel computing tools enable you to solve computationally and data-intensive problems by taking advantage of recent advances in computer hardware, from multiprocessor machines to computer clusters. You will learn how to utilize multiple cores in your desktop machine through the new capabilities of MATLAB and Parallel Computing Toolbox™. We will also show how you can scale applications to computer clusters without changing the code.

Simulink, Controls, and Real-Time Testing

In this workshop, MathWorks engineers will demonstrate the use of Simulink and other products to design a real-time control system using a digital motion control case study. You will see how to:

• Use dynamic simulation to verify and improve your design
• Create plant models from experimental data and from first principles
• Use test data to estimate model parameters
• Design compensators using graphical tuning and optimization-based methods
• Design and test fault detection logic
• Conduct real-time model testing

Creating MATLAB Based Applications for MATLAB Users and Others

This workshop will demonstrate desktop and Web deployment of MATLAB applications. You’ll learn how you can distribute your MATLAB code directly to others to use in their own MATLAB applications, and how to create and distribute turnkey applications and components royalty-free to people who do not have MATLAB. These applications can be integrated into a larger IT infrastructure, such as the Web.