TY  - CHAP
EP  - 661
T2  - Proceedings of the IEEE 51st Annual Conference on Decision and Control (CDC), 2012
N1  - 51st IEEE Conference on Decision and Control December 10-13, 2012. Maui, Hawaii, USA
ID  - eprints1471
N2  - 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.
SP  - 656 
PB  - IEEE
SN  - 978-1-4673-2064-1
A1  - Rubagotti, Matteo
A1  - Poggi, Tomaso
A1  - Bemporad, Alberto
A1  - Storace, Marco
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6426755&isnumber=6425800
Y1  - 2012/12//
KW  - Complexity theory; Estimation; Observability; Sensor systems; Vectors; Voltage control.
AV  - none
TI  - Piecewise affine direct virtual sensors with Reduced Complexity
ER  -