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Learn how to use system identification to fit and validate a linear model to data that has been corrupted by noise and external disturbances. Watch the full series on System Identification: https://www.youtube.com/playlist?list=PLn8PRpmsu08p5KkY8_P8G6fJhelUHHi6b Noise and disturbances can make it difficult to determine if the error between an identified model and the real data comes from incorrectly modeled essential dynamics, data influenced by a random disturbance process, or some combination of the two. Discover how to account for the random disturbances by fitting a first-order autoregressive moving average (ARMA1) model to the disturbance path. This can give you a better overall system model fit and confidence that the essential dynamics were captured correctly. Check out these other links: - All of the references below are displayed in a journey on Resourcium: https://resourcium.org/journey/companion-resources-linear-system-identification-system-identification-part-2?s_eid=PSM_15028 - Introduction to System Identification: https://www.youtube.com/watch?v=u7hJ1aF-JrU - System Identification Overview: https://www.mathworks.com/help/ident/gs/about-system-identification.html?s_eid=PSM_15028 - Linear Model Identification Basics: https://www.mathworks.com/help/ident/linear-model-identification-basics.html?s_eid=PSM_15028 - What is Residual Analysis? https://www.mathworks.com/help/ident/ug/what-is-residual-analysis.html?s_eid=PSM_15028 - resid command in MATLAB: https://www.mathworks.com/help/ident/ref/resid.html?s_eid=PSM_15028 - Goodness of fit: https://www.mathworks.com/help/ident/ref/goodnessoffit.html?s_eid=PSM_15028 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://www.mathworks.com/campaigns/products/trials.html Learn more about MATLAB: https://www.mathworks.com/products/matlab.html?s_eid=PSM_15028 Learn more about Simulink: https://www.mathworks.com/products/simulink.html?s_eid=PSM_15028 See what's new in MATLAB and Simulink: https://www.mathworks.com/products/new_products/latest_features.html?s_eid=PSM_15028 © 2022 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.
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