
Observer Design for Control and Fault Diagnosis of Boolean Networks
Zhihua Zhang(Author)
Springer Vieweg (Publisher)
Published on 12. December 2021
Book
Paperback/Softback
XVIII, 169 pages
978-3-658-35928-7 (ISBN)
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.
More details
Edition
1st ed. 2022
Language
English
Place of publication
Wiesbaden
Germany
Publishing group
Springer Fachmedien Wiesbaden GmbH
Target group
Professional and scholarly
Illustrations
25 s/w Abbildungen
XVIII, 169 p. 25 illus.
Dimensions
Height: 210 mm
Width: 148 mm
Thickness: 11 mm
Weight
251 gr
ISBN-13
978-3-658-35928-7 (9783658359287)
DOI
10.1007/978-3-658-35929-4
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2021
Springer Vieweg
€96.29
Available for download
Person
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.
Content
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).