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Why go through the trouble of linearizing a model? To paraphrase Richard Feynman, it’s because we know how to solve linear systems. With a linear model we can more easily design a controller, assess stability, and understand the system dynamics. This video introduces the concept of linearization and covers some of the topics that will help you understand how linearization is used and why it’s helpful. This video also describes operating points and the process of trimming your system to make an operating point an equilibrium. To end, we walk through an example of Jacobian linearization by looking at the first order partial derivatives of a system. Check out our video to get a more practical understanding of how linearization is accomplished in Simulink: • Linearizing Simulink Models Related resources: Learn about linearization for model analysis and control design: https://bit.ly/2E76uJe Watch more controls Systems Tech Talks: https://bit.ly/2rTc8Yp Trimming and Linearizing Simulink Models Documentations: https://bit.ly/4nJzHNf Linearize Nonlinear Models Documentation: https://bit.ly/2DXWy4G ---------------------------------------------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.