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Technical Articles

  • Simplified Modeling of Dynamic Systems with Simulink

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  • Solving Large-Scale Optimization Problems with MATLAB

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  • New Features for High-Performance Image Processing

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Using industry-standard tools such as MATLAB and Simulink, and low-cost hardware such as Arduino, Beagleboard, LEGO MINDSTORMS, and Raspberry Pi, students tackle real engineering problems and acquire the skills they will need for careers in industry.
ott 2013
Third-party products help developers prototype and deploy human machine interface (HMI) applications with integrated graphics and multi-touch and voice input using Model-Based Design.
ott 2013
Engineers and scientists connect MATLAB and Simulink to FPGAs, microprocessors, cameras, instruments, and other hardware to design, test, and verify systems that combine hardware and software components.
ott 2013
This article describes how engineers in the Baker Hughes’ Dynamics and Telemetry group used automatic code generation to reduce the number of code defects and lessened the time required to fix bugs.
set 2013
Using simulation and optimization techniques to investigate the characteristics that a variable generation system with energy storage should have for given operational profiles.
feb 2013
An interview with a senior Simulink development team lead and an example showing how Simulink R2012b simplifies model navigation, simulation analysis, and model editing.
gen 2013
Three techniques for finding a control strategy for optimal operation of a hydroelectric dam: using a nonlinear optimization algorithm, a nonlinear optimization algorithm with derivative functions, and quadratic programming.
ott 2012
Third-party solutions enhance Model-Based Design for system engineering and embedded-system development in renewable energy applications.
ott 2012
A realistic understanding of a wind farm’s electrical capability requires a simulation using models that capture the electrical and mechanical dynamics of individual turbines.
set 2012
Designing a control system for wind turbines with blade-pitch and power-electronic control, and optimizing parameter tuning for different electromechanical control functions.
giu 2012
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
apr 2012
Model-Based Design enables Hugo Petersen to cut costs and reduce development time by a factor of 5 to 10.
gen 2012
Developed in MATLAB, Sonarscope software lets researchers process, analyze, and visualize terabytes of raw MBES data.
nov 2011
nov 2010
Using a typical numerical computing problem as an example, this article describes how to threads and parallel for loops to get code to work well in a multicore system.
set 2008
Use MATLAB and Financial Toolbox to construct realistic, optimal portfolios that are stable over time.
ott 2006

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