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)
Full text not available from this repository.Abstract
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.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/CDC.2012.6426755 |
| Additional Information: | 51st IEEE Conference on Decision and Control December 10-13, 2012. Maui, Hawaii, USA |
| Uncontrolled Keywords: | Complexity theory; Estimation; Observability; Sensor systems; Vectors; Voltage control. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 12 Feb 2013 12:11 |
| Last Modified: | 12 Feb 2013 12:11 |
| URI: | http://eprints.imtlucca.it/id/eprint/1471 |
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