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Practical and Polytopic Observers for Nonlinear Uncertain Systems (2006)

Abstract
For a class of dynamical systems, with uncertain nonlinear terms considered as «unknown inputs», we give sufficient conditions for observability. We show also that there does not exist any exact observer independent of the unknown inputs. Under the additional assumption that the uncertainty is bounded, we build practical observers whose error converges exponentially towards an arbitrary small neighborhood of the origin. For the general case, when the system might be not observable with unknown inputs, we build polytopic observers providing time-varying bounds (depending on the uncertainty bounds) on the state variables. We illustrate these results on a biological model of a structured population.

Publication details
Download http://hal.inria.fr/inria-00072554/en/
Publisher HAL - CCSD
Repository CCSd/HAL : e-articles server (based on gBUS) (France)
Keywords Computer Science/Other, ROBUST ESTIMATION / NONLINEAR OBSERVER / UNKNOWN INPUTS / PRACTICAL OBSERVER / POLYTOPIC OBSERVER / BIOLOGICAL MODELS
Type research report
Language English
Relation http://hal.archives-ouvertes.fr/docs/00/07/25/54/PDF/RR-4079.pdf