Reference : An adaptive high-gain observer for nonlinear systems
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/16105
An adaptive high-gain observer for nonlinear systems
English
Boizot, Nicolas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Busvelle, Eric [UT Dijon-Auxerre, France]
Gauthier, Jean-Paul [Université de Toulon, France]
Sep-2010
Automatica
Pergamon Press
46
9
1483-1488
Yes (verified by ORBilu)
0005-1098
[en] Nonlinear observer ; Adaptive high-gain observer ; Kalman filtering
[en] In this paper the authors provide a solution to the noise sensitivity of high-gain observers. The resulting nonlinear observer possesses simultaneously 1) extended Kalman filter's good noise filtering properties, and 2) the reactivity of the high-gain extended Kalman filter with respect to large perturbations. The authors introduce innovation as the quantity that drives the gain adaptation. They prove a general convergence result, propose guidelines to practical implementation and show simulation results for an example.
http://hdl.handle.net/10993/16105
10.1016/j.automatica.2010.06.004
http://portal.acm.org/citation.cfm?id=1850845.1850970

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