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Observer design for control and fault diagnosis of Boolean networks
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Observer design for control and fault diagnosis of Boolean networksby Zhihua Zhang.
作者:
Zhang, Zhihua.
出版者:
Wiesbaden :Springer Fachmedien Wiesbaden :2022.
面頁冊數:
xviii, 169 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Control theory.
電子資源:
https://doi.org/10.1007/978-3-658-35929-4
ISBN:
9783658359294$q(electronic bk.)
Observer design for control and fault diagnosis of Boolean networks
Zhang, Zhihua.
Observer design for control and fault diagnosis of Boolean networks
[electronic resource] /by Zhihua Zhang. - Wiesbaden :Springer Fachmedien Wiesbaden :2022. - xviii, 169 p. :ill., digital ;24 cm.
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)
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. 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.
ISBN: 9783658359294$q(electronic bk.)
Standard No.: 10.1007/978-3-658-35929-4doiSubjects--Topical Terms:
182248
Control theory.
LC Class. No.: QA402.3 / .Z53 2022
Dewey Class. No.: 629.8312
Observer design for control and fault diagnosis of Boolean networks
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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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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. 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.
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