Abstract
This chapter takes stock of what has been done, or not, in the last years for the identification of hybrid systems, and discusses several open issues in this field. These include theoretical issues related to computational complexity or statistical guarantees, model selection issues, and the identification of systems with submodels in other forms than those considered in the book. For the latter, linear submodels in input–output form other than ARX, nonlinear submodels, and continuous-time models are mentioned.
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Lauer, F., Bloch, G. (2019). Outlook . In: Hybrid System Identification. Lecture Notes in Control and Information Sciences, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-030-00193-3_10
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DOI: https://doi.org/10.1007/978-3-030-00193-3_10
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