Build Upon Linear Models with AI for Estimating Nonlinear Dynamics

Learn how to identify interpretable models of your system by combining system identification methods with machine learning and deep learning techniques. This demonstration illustrates how to model the nonlinear dynamics of a spark-ignition (SI) engine by using a state-space model as a starting point to gain valuable physical insights and then build upon this with the aid of neural networks.