Identification of piecewise affine systems via mixed-integer programming
By Jacob Roll, Alberto Bemporad, Lennart Ljung. at - Automatisierungstechnik, 2004
416 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/5ef132b92a1eb707ebdb113592916b9f399fea2d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Francesco Borrelli
- Alberto Bemporad
- Manfred Morari
- Aleksandar Lj. Juloski
- Simone Paoletti
- Giancarlo Ferrari-Trecate
- René Vidal
- W. M. Heemels
Citations in the corpus
- Identification of Hybrid Systems: A Tutorial (2007, methodology): “The identification problem considered in [62] selects the optimal parameter vector θ by solving”
- Predictive Control for Linear and Hybrid Systems (2017, background): “Identification techniques for piecewise affine systems were recently developed [104, 255, 163, 39, 165, 282, 227], that allow one to derive models (or parts of models) from input/output data.”
- A Bayesian approach to identification of hybrid systems (2004, background): “As pointed out in [7], most of the existing approaches assume that the system dynamics are”
- A bounded-error approach to piecewise affine system identification (2005, methodology): “In [12] the identification problem is formulated for two subclasses of PWA models, namely hinging hyperplane ARX (HHARX) and Wiener PWARX (W-PWARX)”