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  • Teaching Nuclear Engineering with MATLAB

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  • Simplified Modeling of Dynamic Systems with Simulink

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  • Solving Large-Scale Optimization Problems with MATLAB

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Drexel nuclear engineering students use MATLAB to complete capstone design projects, including an unmanned aerial vehicle (UAV) for radiation detection and a nuclear reactor simulator.
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.
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.
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.
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.
Using simulation and optimization techniques to investigate the characteristics that a variable generation system with energy storage should have for given operational profiles.
An interview with a senior Simulink development team lead and an example showing how Simulink R2012b simplifies model navigation, simulation analysis, and model editing.
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.
Third-party solutions enhance Model-Based Design for system engineering and embedded-system development in renewable energy applications.
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.
Designing a control system for wind turbines with blade-pitch and power-electronic control, and optimizing parameter tuning for different electromechanical control functions.
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
Model-Based Design enables Hugo Petersen to cut costs and reduce development time by a factor of 5 to 10.
Developed in MATLAB, Sonarscope software lets researchers process, analyze, and visualize terabytes of raw MBES data.
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.
This paper introduces Model-Based Design, highlights some of its benefits, and discusses 10 best practices for adopting a Model-Based Design culture across an organization.
Use MATLAB and Financial Toolbox to construct realistic, optimal portfolios that are stable over time.

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