MATLAB | Reduced Order Modeling: Applications and Techniques for Creating ROMs @MATLAB | Uploaded December 2023 | Updated October 2024, 1 week ago.
Reduced order modeling (ROM) is a technique for simplifying a high-fidelity mathematical model by reducing its computational complexity while preserving the dominant behavior of the complex model.
One common application of reduced order modeling enables simulation of third-party FEA/FEM/CFD models in Simulink® including hardware-in-the-loop testing. Other ROM applications include virtual sensor modeling, control design, and digital twins. This overview also highlights different techniques for creating reduced order models with MATLAB® and Simulink such as data-driven modeling (including static and dynamic models), model-based ROMs, linearization-based methods, and physics-based reduction.
- Learn more about reduced order modeling: bit.ly/3NBjZ3M
- Check out our other videos about Reduced Order Modeling: youtube.com/playlist?list=PLn8PRpmsu08rOCXfWhVPUFucO20q_P4Gy
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© 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
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Reduced order modeling (ROM) is a technique for simplifying a high-fidelity mathematical model by reducing its computational complexity while preserving the dominant behavior of the complex model.
One common application of reduced order modeling enables simulation of third-party FEA/FEM/CFD models in Simulink® including hardware-in-the-loop testing. Other ROM applications include virtual sensor modeling, control design, and digital twins. This overview also highlights different techniques for creating reduced order models with MATLAB® and Simulink such as data-driven modeling (including static and dynamic models), model-based ROMs, linearization-based methods, and physics-based reduction.
- Learn more about reduced order modeling: bit.ly/3NBjZ3M
- Check out our other videos about Reduced Order Modeling: youtube.com/playlist?list=PLn8PRpmsu08rOCXfWhVPUFucO20q_P4Gy
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Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
