In this contribution we give an overview and discussion of the basic steps of System Identification. The four main ingredients of the process that takes us from observed data to a validated model are: (1) The data itself, (2) The set of candidate models, (3) The criterion of fit and (4) The validation procedure. We discuss how these ingredients can be blended to a useful mix for model-building in practice.
CITATION STYLE
Tangirala, A. K. (1998). M1-L1, 163–173. Retrieved from http://link.springer.com/10.1007/978-1-4612-1768-8_11
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