| 书目名称 | Observer Design for Control and Fault Diagnosis of Boolean Networks | | 编辑 | Zhihua Zhang | | 视频video | | | 图书封面 |  | | 描述 | 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 wi | | 出版日期 | Book 2022 | | 关键词 | Observer design; Boolean control networks; fault detection; Optimal control; Observer design; Boolean con | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-658-35929-4 | | isbn_softcover | 978-3-658-35928-7 | | isbn_ebook | 978-3-658-35929-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies |
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发表于 2025-3-21 17:52:09
