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.
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|
|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|
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