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Published in:
2015 | OriginalPaper | Chapter
A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation
Authors : Piotr Witczak, Marcin Mrugalski, Krzysztof Patan, Marcin Witczak
Published in: Advances in Computational Intelligence
Publisher: Springer International Publishing
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The paper deals with the problem of neural-network based on robust unknown input observer design for the fault diagnosis. Authors review the recent development in the area of robust observers for non-linear discrete-time systems and propose less restrictive procedure for design of the
$${\mathcal {H}_\infty }$$
observer. The approach guaranties simultaneously the unknown input decoupling and the fault estimation. The paper presents an unknown input observer design that reduces to a set of linear matrix inequalities. The final part of the paper presents an illustrative example devoted to fault diagnosis of the wind turbine.