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Classification for Dynamical Systems: Model-Based and Data-Driven Approaches

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We address the problem of classifying trajectories generated by dynamical systems. We consider the model-based approach, which is the classic approach in control theory, and (data-driven) support vector machines, a… Click to show full abstract

We address the problem of classifying trajectories generated by dynamical systems. We consider the model-based approach, which is the classic approach in control theory, and (data-driven) support vector machines, a popular method in the area of machine learning. The analysis points out connections between the two approaches and their relative merits. Examples are given to substantiate the analysis.

Keywords: classification dynamical; systems model; dynamical systems; model based; data driven

Journal Title: IEEE Transactions on Automatic Control
Year Published: 2021

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