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

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  • © 2023

Overview

  • Nominated as an outstanding PhD thesis by Universitat Politècnica de Catalunya, Barcelona, Spain
  • Reports on the adaptive re-design of nonlinear observers to reduce the effect of parametric uncertainty
  • Describes applications relating to PEM fuel cell monitoring and cybersecurity in DC microgrids

Part of the book series: Springer Theses (Springer Theses)

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About this book

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.










Keywords

Table of contents (8 chapters)

Authors and Affiliations

  • Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Universitat Politècnica de Catalunya, Barcelona, Spain

    Andreu Cecilia

Bibliographic Information

  • Book Title: Advances in Nonlinear Observer Design for State and Parameter Estimation in Energy Systems

  • Authors: Andreu Cecilia

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-031-38924-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-38923-8Published: 29 August 2023

  • Softcover ISBN: 978-3-031-38926-9Due: 29 September 2023

  • eBook ISBN: 978-3-031-38924-5Published: 28 August 2023

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XIX, 221

  • Number of Illustrations: 1 b/w illustrations, 56 illustrations in colour

  • Topics: Control and Systems Theory, Energy Systems, Robotics and Automation

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