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Engineers use MATLAB to design suspension systems and quickly analyze ride and handling, reducing the number of prototypes.
Engineers develop aircraft control system models that meet evolving UAV certification standards and can be shared between departments and with partners.
Engineers model and simulate the Royal Navy’s Type 45 destroyer’s physical systems and generate production C code for the training system.
Engineers use simulation and automatic code generation for iterative design and development and rapid prototyping of the world’s first civilian tiltrotor.
Bernecker & Rainer Industrieelektronik (B&R) uses its Automation Studio with MATLAB and Simulink to develop real-time code for PLCs, industrial PCs, and embedded PLCs for the industrial automation market.
Researchers use MATLAB to gain insights into performance of LTE small cell deployments.
Engineers use model-based development for verifying accuracy and validating behavior of code used in controllers.
Engineers automate the development and code generation for a stall warning system and interface for twin-engine, light transport aircraft.
Engineers use MATLAB to analyze large-scale data sets from field test vehicles to determine system performance, seasonal trends, and overall fleet performance.
Financial analysts develop algorithms, perform backtesting, and visualize key metrics to interpret data and refine customer portfolio strategies.
Financial analysts develop strategies to deliver the highest absolute and risk-adjusted returns among peer European hedge funds.
Professor Holzbecher uses MATLAB to teach optimization, quantification, modeling, statistics, data analysis, visualization, and mapping.
Engineers develop a complex control system that enables machine learning for an autonomous humanoid robot.
Researchers develop complex control algorithms and automatically generate code for autonomous robots using Model-Based Design with MATLAB and Simulink .
Professors offer MATLAB based courses that prepare students for exams and industry.
Hochschule RheinMain faculty teach modeling and simulation using MATLAB in an multidisciplinary massive open online course (MOOC).
Automotive engineers develop a flexible, reusable ECU in an on-target rapid prototyping environment using production code generation.
Engineers integrate MATLAB and Simulink as part of their design process for hardware-in-the-loop testing, where a predictive controller is implemented in real-time on an FPGA target.
Engineers complete communication payload design simulation and hardware validation and verification with Simulink.
Financial analysts develop algorithms, perform backtesting, and visualize key metrics to interpret data and refine customer portfolio strategies.
Financial analysts use MATLAB to give investors real-time data for better trading decisions.
Engineers enable early and continuous verification of automotive body control electronics using simulation and software-in-the-loop and hardware-in-the-loop testing.
Researchers develop a predictive artificial neural network model and simulate thousands of risk-profile combinations to identify optimal heart-transplant recipient and donor matches.
Engineers design and model the controller, run real-time simulations, and deploy a production system.
Model IT uses object-oriented MATLAB to facilitate the development of risk and actuarial-based models in a natural business language that retains the underlying numerical and programming flexibility of MATLAB.
Campus-wide access to MATLAB and Simulink enables Mondragon University to develop an applied teaching methodology to build students’ practical engineering skills.
Engineers quickly repeat verification and validation for a control system design that was modified to resolve issues found during flight tests.
The National Elevator Industry Educational Program worked with MathWorks Consulting Services to develop a virtual training simulator for more accurate real-world experiences.
Engineers use Simscape to build a system model of a heavy-duty truck to speed up development and evaluate system and subsystem performance.
Engineers model guidance, navigation, and control algorithms, perform real-time simulations, and generate production flight code.
Engineers replace Microsoft Excel and open source solutions with MATLAB and Optimization Toolbox to gain flexibility, speed up algorithms, and optimize production processes.
Students develop control algorithms for a hybrid electric engine, implement them in a vehicle, and test fuel efficiency on the track.
Students gain hands-on experience with industry-standard software, enabling them to land jobs after graduation and contribute immediately.
Students design control algorithms, verify them, and perform hardware-in-the-loop testing with a real vehicle.
Engineers at Solar Impulse used MATLAB and Simulink to develop a solar-powered aircraft, from the conceptual system design and development, through to mission planning and operation.
Students model haptic systems, simulate human-machine interaction, and perform real-time testing on low-cost hardware.
Financial analysts use MATLAB to analyze data in Microsoft Excel spreadsheets and visualize the results.
Researchers at TUM help small companies in the region improve product development and comply with industry standards.
Students at the Institute for Flight System Dynamics develop avionics control algorithms, implement them on target hardware, and perform pilot-in-the-loop testing in a research flight simulator.
Students at the Institute for Flight System Dynamics develop models, run simulations, and generate code for controlling multirotor helicopters.
Engineers analyze and visualize data from wind tunnel, shaker, and track tests to optimize racing vehicle performance.
Researchers and students use MATLAB and Simulink for developing and sharing robotics designs.
Researchers and students use MATLAB and Simulink for grasp analysis of human and robotic hands.
Students develop animations, graphical interfaces, and downloadable applications to engage fellow learners in numerical analysis.
Professors use visualization and interactive interfaces to engage students in mathematics and algorithm development.
Researchers optimize fuel usage and system interactions in Formula 1 cars.
The Doctoral Training Center trains students in mathematical modeling for biophysics and bioinformatics.
Students design, model, and simulate nanosatellite attitude control systems and get experience developing satellite technology and managing actual missions.
Researchers use MATLAB to understand biological movement and synthesize controllers to achieve similar performance.
Engineers design and validate plant models, automatically generate C code, and run code on real-time hardware to test electronic components for a heavy truck for the U.S. Department of Transportation.
Engineers reuse respirator control system code for a new respirator for ambulance, helicopter, and hospital use.
Financial analysts create and deploy standalone tool that is sophisticated but affordable.

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