%R 10.1109/CDC.2012.6426755
%B Proceedings of the IEEE 51st Annual Conference on Decision and Control (CDC), 2012
%X 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.
%L eprints1471
%D 2012
%K Complexity theory; Estimation; Observability; Sensor systems; Vectors; Voltage control.
%A Matteo Rubagotti
%A Tomaso Poggi
%A Alberto Bemporad
%A Marco Storace
%I IEEE
%O 51st IEEE Conference on Decision and Control December 10-13, 2012. Maui, Hawaii, USA
%P 656 -661
%T Piecewise affine direct virtual sensors with Reduced Complexity