Advances in Nonlinear Observer Design for State and Parameter Estimation in Energy Systems

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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2023-08-28

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Description
This book reports on a set of advances relating to nonlinear observer design, with a special emphasis on high-gain observers. First, it covers the design of filters and their addition to the observer for reducing noise, a topic that has been so far neglected in the literature. Further, it describes the adaptive re-design of nonlinear observers to reduce the effect of parametric uncertainty. It discusses several limitations of classical methods, presenting a set of successfull solutions, which are mathematically formalised through Lyapunov stability analysis, and in turn validated via numerical simulations. In the second part of the book, two applications of the adaptive nonlinear observers are described, such in the estimation of the liquid water in a hydrogen fuel cell and in the solution of a common cybersecurity problem, i.e. false data injection attacks in DC microgrids. All in all, this book offers a comprehensive report on the state-of-the-art in nonlinear observer design for energy systems, including mathematical demonstrations, and numerical and and experimental validations.













Pages
221 pages
Collection
Springer Theses
Parution
2023-08-28
Marque
Springer
EAN papier
9783031389238
EAN PDF
9783031389245

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
3738 Ko
Prix
189,89 €
EAN EPUB
9783031389245

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
17838 Ko
Prix
189,89 €