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Discover how hardware-in-the-loop testing solutions from MathWorks and Speedgoat help you efficiently test your electric vehicle powertrain controllers

In this webinar, you will learn how to build data-driven fault detection algorithms for induction motors – even if you aren’t a machine learning expert. Starting with a dataset collected from motor hardware, we will walk through the end-to-end process of developing a predictive maintenance algorithm.

In this webinar, you will learn about single- and multi-user MIMO in 5G NR, as well as common beamforming techniques and scenarios. We will cover different techniques to estimate the channel or channel information for beamforming purpose, how the UE communicates the necessary information back to the gNodeB, the different options for SU-MIMO vs MU-MIMO, and how to simulate a complete link with adaptive beamforming in MATLAB with 5G Toolbox.

In this webinar, you will learn how to develop and test motor control algorithms in real-time without leaving the MATLAB and Simulink environment. In this webinar, MathWorks engineers will show how to validate control algorithms on real-time systems with Speedgoat hardware. For Hardware-in-the loop (HIL) testing, we will be showing how to easily validate the embedded software by using a configurable prebuilt FPGA bitstream of the plant model.

In this session you will learn the basics of Simulink for modIn this session you will learn the basics of Simulink for modeling, simulating, and analyzing multidomain dynamical systems. You will see how to build simulation models using Simulink’s block diagramming interface, customizable set of libraries, and connectivity to MATLAB.eling, simulating, and analyzing multidomain dynamical systems. You will see how to build simulation models using Simulink’s block diagramming interface, customizable set of libraries, and connectivity to MATLAB.