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CDC
2010
IEEE

State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors

8 years 5 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 designing a proportional integral observer (PIO) with unknown inputs. In order to design such an observer, the nonlinear model is transformed into an equivalent multiple model form and the fast dynamics are considered as unknown inputs. An application to an ASM1 model of Wastewater Treatment Plants (WWTP) is considered and the obtained numerical results show the performances of the proposed approach.
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo
Added 23 Aug 2011
Updated 23 Aug 2011
Type Journal
Year 2010
Where CDC
Authors Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mourot, Georges Schutz, José Ragot
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