Robustifying an extended unknown input observer with genetic programming
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- @InProceedings{witkor01a,
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author = "Marcin Witczak and Jozef Korbicz",
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title = "Robustifying an extended unknown input observer with
genetic programming",
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booktitle = "Methods and Models in Automation and Robotics - MMAR
2001 : Proceedings of the 7th IEEE International
Conference",
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year = "2001",
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volume = "2",
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pages = "1061--1066",
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publisher = "Wydaw. Uczelniane Politechniki Szczeci\~{n}skiej",
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email = "M.Witczak@issi.uz.zgora.pl",
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keywords = "genetic algorithms, genetic programming",
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abstract = "This paper is focused on the problem of designing
nonlinear observers for fault diagnosis tasks. The main
objective is to show how to employ a modified version
of the well-known unknown inputobserver, which can be
applied to linear stochastic systems, to form a
nonlinear deterministic observer. Moreover, it is shown
that the convergence of the proposed observer is
ensured under certain conditions. In particular an
unknown diagonal matrix is introduced in order to take
the linearization errors into account, and then the
Lyapunov method is employed to obtain the convergence
conditions. The final part of this paper shows how to
use a genetic programming technique to increase the
convergence rate of the proposed observer.",
- }
Genetic Programming entries for
Marcin Witczak
Jozef Korbicz
Citations