Piecewise affine direct virtual sensors with reduced complexity

Matteo Rubagotti, Tomaso Poggi, Alberto Bemporad, Marco Storace

Research output: Contribution to journalConference article

3 Citations (Scopus)

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.

Original languageEnglish
Article number6426755
Pages (from-to)656-661
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
DOIs
Publication statusPublished - Dec 1 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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