19 result found
This white paper offers guidance on modeling practices to help segment algorithms and reduce verification and deployment efforts when following ISO 26262 and using Model-Based Design.
Explore how combining AI with Model-Based Design (MBD) in MATLAB & Simulink enhances system accuracy, optimizes control strategies, and accelerates innovation in engineering.
Explore how MATLAB and Simulink enable electrical engineers to design, simulate, and optimize advanced systems efficiently, ensuring reliability and innovation.
Explore how MATLAB and Simulink empower energy engineers to design, optimize, and simulate renewable energy systems, power grids, and storage solutions.
This blog dives into how to achieve ISO 26262 compliance with model-based design using MATLAB and Simulink. Including key areas, workflows, & best practices for developing safety-critical software.
This step-by-step guide explores how to leverage MATLAB and deep learning to detect audible faults in machinery.
Optimize the fault detection process with deep learning in MATLAB. Explore CNNs, RNNs, and advanced tips for precision and reliability.
In this blog, the SZEnergy team members discuss how their dedication and MATLAB optimization turned their 6th-place car into a record-breaking Mileage Challenge winner. The blog explores the team’s journey to victory in the Autonomous Challenge and their commitment to innovation with MATLAB.
Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB
Discover the essentials of microgrid design and simulation using Simscape Electrical™ and Simulink®. Get started with expert insights in this blog.