relation: http://eprints.imtlucca.it/1471/
title: Piecewise affine direct virtual sensors with Reduced Complexity
creator: Rubagotti, Matteo
creator: Poggi, Tomaso
creator: Bemporad, Alberto
creator: Storace, Marco
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description: In this paper, a piecewise-affine direct virtual sensor is proposed for the estimation of unmeasured outputs of nonlinear systems whose dynamical model is unknown. In order to overcome the lack of a model, the virtual sensor is designed directly from measured inputs and outputs. The proposed approach generalizes a previous contribution, allowing one to design lower-complexity estimators. Indeed, the reduced-complexity approach strongly reduces the effect of the so-called "curse of dimensionality", and can be applied to relatively high-order systems, while enjoying all the convergence and optimality properties of the original approach.
publisher: IEEE
date: 2012-12
type: Book Section
type: PeerReviewed
identifier:   Rubagotti, Matteo and Poggi, Tomaso and Bemporad, Alberto and Storace, Marco  Piecewise affine direct virtual sensors with Reduced Complexity.   In:  Proceedings of the IEEE 51st Annual Conference on Decision and Control (CDC), 2012.   IEEE, 656 -661.  ISBN 978-1-4673-2064-1      (2012)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6426755&isnumber=6425800
relation: 10.1109/CDC.2012.6426755