University of Cambridge > Talks.cam > Machine Learning @ CUED > Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories

Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories

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If you have a question about this talk, please contact Carl Edward Rasmussen.

In the first part, an introduction to nonlinear identification is given: How to recognize the presence of nonlinear distortions? How to decide between a linear or a nonlinear identification approach? Illustration on a ground vibration test of a F16 airfighter.

In the second part, a series of (open) problems and challenges in nonlinear system identification is discussed: experiment design, choice of the model, choice of the cost function.

Eventually, an illustration is given on the identification of the short-term electrical response of a Li-ion Battery.

This talk is part of the Machine Learning @ CUED series.

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