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Convergence Speed of Nonlinear Luenberger Observers
Author(s) -
Vincent Andrieu
Publication year - 2014
Publication title -
siam journal on control and optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.486
H-Index - 116
eISSN - 1095-7138
pISSN - 0363-0129
DOI - 10.1137/110853091
Subject(s) - observability , convergence (economics) , nonlinear system , control theory (sociology) , state observer , observer (physics) , mathematics , rate of convergence , state (computer science) , class (philosophy) , exponential function , computer science , mathematical analysis , control (management) , physics , algorithm , artificial intelligence , computer network , channel (broadcasting) , quantum mechanics , economics , economic growth
It is shown that under a weak observability assumption, the nonlinear Luenberger observer exists and ensures an exponential convergence rate of the estimate towards the state of the system. Moreover, it is shown that under the complete observability assumption, this class of observers is tunable. More specifically, it is shown that the estimate reaches a predetermined neighborhood of the state after a parameterizable time.

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