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Observer Design for Control and Fault Diagnosis of Boolean Networks

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  • © 2022

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Table of contents (8 chapters)

Keywords

About this book

Boolean control networks (BCNs) are a kind of parameter-free model, which can be used to approximate the qualitative behavior of biological systems. After converting into a model similar to the standard discrete-time state-space model, control-theoretic problems of BCNs can be studied. In control theory, state observers can provide state estimation for any other applications. Reconstructibility condition is necessary for the existence of state observers. In this thesis explicit and recursive methods have been developed for reconstructibility analysis. Then, an approach to design Luenberger-like observer has been proposed, which works in a two-step process (i.e. predict and update). If a BCN is reconstructible, then an accurate state estimate can be provided by the observer no later than the minimal reconstructibility index. For a wide range of applications the approach has been extended to enable design of unknown input observer, distributed observers and reduced-order observer. The performance of the observers has been evaluated thoroughly. Furthermore, methods for output tracking control and fault diagnosis of BCNs have been developed. Finally, the developed schemes are tested with numerical examples.

Authors and Affiliations

  • Kaiserslautern, Germany

    Zhihua Zhang

About the author

Zhihua Zhang received the B.Sc. degree and M.Sc. degree in electrical engineering from the TU Kaiserslautern, Germany, respectively, in 2013 and 2015. In 2021 he finished Ph.D. in the area of Boolean control networks.

Bibliographic Information

  • Book Title: Observer Design for Control and Fault Diagnosis of Boolean Networks

  • Authors: Zhihua Zhang

  • DOI: https://doi.org/10.1007/978-3-658-35929-4

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2022

  • Softcover ISBN: 978-3-658-35928-7Published: 12 December 2021

  • eBook ISBN: 978-3-658-35929-4Published: 11 December 2021

  • Edition Number: 1

  • Number of Pages: XVIII, 169

  • Number of Illustrations: 25 b/w illustrations

  • Topics: Biomedical Engineering and Bioengineering, Theory of Computation

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