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Updated: 18 hours 26 min ago
An independent MATLAB consultant shows how, by investing a small amount of time, you can accelerate MATLAB programs by a large factor.
This article shows how to extrapolate the size of the U.S. population using polynomials, splines, exponentials, and the census app in Cleve’s Laboratory.
This article describes how a Kaggle competition winner trained classification models that could predict epileptic seizures from human intracranial electroencephalograph (EEG) recordings.
Engineers and scientists use MATLAB to build predictive models, compare machine learning algorithms, and integrate data analytics into production systems.
Developing PLC-Based Control and Management Systems for Electric and Diesel Multiple-Unit Railway Vehicles
PESA engineers model low-level software requirements, run simulations to verify their designs, and generate IEC 61131-3 Structured Text for deployment to a programmable logic controller (PLC).
This example shows how to assess the impact of an RF front end on baseband modeling and standard measurements such as EVM.
Using an oncology model as an example, this article describes a workflow for developing and deploying an application for simulating a mechanistic PK/PD model built using SimBiology.
Using MATLAB, researchers analyzed signals detected by the Laser Interometer Gravitational Wave Observatory. They confirmed the signals were gravitational waves from a collision of black holes.
RPI’s mechatronics curriculum combines multidomain theory with lab projects based on a take-home kit that includes an Arduino based microcontroller, a DC motor, and MATLAB and Simulink software.
Daimler engineers run simulations with Simulink and SimEvents to aid operational decision-making, forecast the outcomes of manufacturing process changes, and improve production lines efficiency.
Learn how you can use MATLAB to model all quantifiable risks and service multiple compliance regimes with agility, reproducibility, and robust model governance.
In diesem Artikel geht es darum, wie ein Online-Anlagenmodell für einen Gleichstrommotor entwickelt und dazu eingesetzt wird, Änderungen der Motordynamik in Echtzeit zu erfassen.
This article introduces a workflow that reduces hardware testing time by using simulation to design and test a torque controller for an FEA-based high-fidelity PMSM machine.
Turning Engineering and Science Students into Active Learners with Gap Analysis and Model-Based Design
Lycée Louis Armand engineering students use MATLAB and Simulink to complete hands-on projects, including a balloon for aerial thermography, an energy-neutral tramway shelter, and a holonomic robot.
A Credit Suisse team used the lean startup approach with MATLAB to develop an application for identifying prospective clients from big data—saving $300,000 in software vendor costs.
Scania 的 AEBS 是通过基于模型的设计构建的，它将雷达和相机传感器中的数据进行合并。如果即将发生事故时驾驶员没有反应，该系统将警告驾驶员并自动采取制动措施。