@inbook{1852b857fcaa4012b2af0f38ed8843be,
title = "Identification of input-output LPV models",
abstract = "This chapter presents an overview of the available methods for identifying input-output LPV models both in discrete time and continuous time with the main focus on noise modeling issues. First, a least-squares approach and an instrumental variable method are presented for dealing with LPV-ARX models. Then, a refined instrumental variable approach is discussed to address more sophisticated noise models like Box-Jenkins in the LPV context. This latter approach is also introduced in continuous time and efficient solutions are proposed for both the problem of time-derivative approximation and the issue of continuous-time modeling of the noise.",
author = "V. Laurain and R. Toth and M. Gilson and H. Garnier",
year = "2011",
doi = "10.1142/9789814355452\_0005",
language = "English",
isbn = "978-981-4355-44-5",
series = "Advanced Series in Electrical and Computer Engineering",
publisher = "World Scientific",
pages = "95--131",
editor = "\{Santos, dos\}, P.L. and T.P.A. Perdico{\'u}lis and C. Novara and Ramos, \{J. A.\} and Rivera, \{D. E.\}",
booktitle = "Linear parameter-varying system identification: new developments and trends",
address = "United States",
}