Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation: 395 - Brossura

Talebi, Heidar A.; Abdollahi, Farzaneh; Patel, Rajni V.; Khorasani, Khashayar

 
9781441914378: Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation: 395

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"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.

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This series aims to report new developments in the fields of control and information sciences quickly, informally and at a high level. The type material considered for publication includes:

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Manuscripts should be written in English and be no less the 100, preferably no more than 500 pages. The manuscript in its final and approved version must be submitted in camera-ready form. Authors are encouraged to use LATEX together with the corresponding Springer LATEX macro packages. The corresponding electronic files are also required for the production process, in paticular the online version. Detailed instructions for authors can be found on the engineering site of our homepage: springer.com/series/642. Manuscripts should be sent to one of the series editors, Professor Dr.-Ing. M. Thomas, Institut für Regelungstechnik, Technische Universität, Appelstraße 11, 30167 Hannover, Germany, or Professor M. Morari, Institut für Automatik, ETH/ETL I 29, Physikstraße 3, 8092 Zürich, Switzerland, or directly to the Engineering Editor, Springer-Verlag, Tiergartenstresße 17, 69121 Heidelberg, Germany.

 

 

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9781441914446: Neural Network-Based State Estimation of Nonlinear Systems

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ISBN 10:  1441914447 ISBN 13:  9781441914446
Brossura