State and parameter estimation in chemical and biochemical processes: a tutorial

506 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Parameter Estimation and Model Selection in Computational Biology (2010, methodology): “State observers can be employed for parameter estimation using the technique of state extension, in which parameters are transformed into states by suitably expanding the system under study [22–24].”
Hybrid semi-parametric modeling in process systems engineering: Past, present and future (2014, background): “However, the corrector method is subject to certain restrictions regarding the state observability (Dochain, 2003).”
Mathematical modelling of anaerobic digestion of biomass and waste: Power and limitations (2013, background): “A detailed discussion of softsensors lies beyond the scope of the present paper and the reader is referred to an excellent review by Dochain [140] for more information on this topic.”
A nonlinear observer design for an activated sludge wastewater treatment process (2009, background): “We can quote, for example [32], [23], [14], [11], [34] and lately [6] and references therein.”
Robust discrete‐time nonlinear sliding mode state estimation of uncertain nonlinear systems (2007, background): “In recent years, state estimators for nonlinear systems that can effectively handle model and measurement uncertainties [6–8] have also been developed.”