IDENT: Package for identification in behavioural setting. The IDENT package solves identification problems with no a priori separation of the variables into inputs and outputs and representation invariant approximation criterion. The model class consists of linear time-invariant systems of bounded complexity and the approximation criterion is the minimum of a weighted 2-norm distance between the given time series and a time series that is consistent with the model. The problem is equivalent to and is solved as a mosaic-Hankel structured low-rank approximation problem.Additional nonstandard features of the software are specification of exact and missing variables and identification from multiple experiments.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Guglielmi, Nicola; Markovsky, Ivan: An ODE-based method for computing the distance of coprime polynomials to common divisibility (2017)
- Markovsky, Ivan: The most powerful unfalsified model for data with missing values (2016)
- Usevich, Konstantin; Markovsky, Ivan: Optimization on a Grassmann manifold with application to system identification (2014)