State-of-the-art control methods for nonlinear systems
(e.g. a biomass furnace) include differential geometric techniques
as well as Lyapunov-based approaches [1–4]. An
important prerequisite for these sophisticated methods is
a simple mathematical model of the system consisting of as
few as possible low-order ordinary differential equations. This
implies that the simple model describes reality more
approximatively than other models might do, but this does
not matter since inaccuracies of the model as well as disturbances
are compensated by the controller.
Numerous models for the combustion process