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Mathematics of Control Signals and Systems 21, 2 (2009) 147-170
Observability analysis by Poincaré normal forms
Latifa Boutat-Baddas 1, Driss Boutat 2, Jean-Pierre Barbot 3
(2009)

This paper deals with quadratic equivalence, normal forms of observability, characteristic matrices and normal quadratic numbers for nonlinear Single-Input Single-Output (SISO) systems. We investigated both cases; nonlinear systems linearly observable and nonlinear systems with one linear unobservable mode. Particularly, the effect of the normal quadratic numbers on the observer design is pointed out. Finally, a faster observability analysis is proposed using characteristic matrices and normal quadratic numbers. Throughout the paper, academic examples as well as bio-reactor example highlight our purpose.
1 :  Centre de recherche en automatique de Nancy (CRAN)
CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)
2 :  Laboratoire Vision et Robotique (LVR)
Université d'Orléans – Ecole Nationale Supérieure d'Ingénieurs de Bourges
3 :  ALIEN (INRIA Saclay - Ile de France/Inria Lille - Nord Europe)
INRIA – Polytechnique - X – Ecole Centrale de Lille – CNRS : UMR8146
Sciences de l'ingénieur/Automatique / Robotique
Observability – Poincaré's normal form – Observability singularity.
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