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» Prediction-based observation of nonlinear systems non-affine...
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CDC
2009
IEEE
112views Control Systems» more  CDC 2009»
13 years 6 months ago
Prediction-based observation of nonlinear systems non-affine in the unmeasured states
The presented work addresses the observation problem for a large class of nonlinear systems, including systems which are nonlinear in the unmeasured states. Assuming partial state ...
Yannick Morel, Alexander Leonessa
CDC
2010
IEEE
131views Control Systems» more  CDC 2010»
12 years 8 months ago
State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 8 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
Dalil Ichalal, Benoît Marx, José Rago...
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
13 years 9 months ago
Robust output feedback control of a magnetic levitation system via high-gain observer
Abstract— This paper proposes a novel robust output feedback controller for an electromechanical system in the presence of external disturbance and uncertainties of physical para...
Zi-Jiang Yang, Seiichiro Hara, Shunshoku Kanae, Ki...
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
13 years 9 months ago
State estimation of the three-tank system using a multiple model
— This paper addresses the exact transformation of nonlinear systems into a multiple model form with unmeasurable premise variables. The multiple model structure serves to treat ...
Anca Maria Nagy, Benoît Marx, Gilles Mourot,...