Observer Design for Control and Fault Diagnosis of Boolean Networks
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer Fachmedien Wiesbaden
- Date of Publication 12 December 2021
- Number of Volumes 1 pieces, Book
- ISBN 9783658359287
- Binding Paperback
- No. of pages169 pages
- Size 210x148 mm
- Weight 254 g
- Language English
- Illustrations XVIII, 169 p. 25 illus. Illustrations, black & white 220
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Long description:
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.
MoreTable of Contents:
Introduction.- Matrix expression of Boolean control networks.- Reconstructibility analysis.- Observer design.- Model-based output tracking control.- Model-based Fault diagnosis.- Conclusion.- Kurzfassung in deutscher Sprache (extended summary in German).
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