Nonlinear Observers and Applications

  • Authors
  • Gildas Besançon

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 363)

Table of contents

  1. Front Matter
  2. Hassan Hammouri
    Pages 35-70
  3. Nicolas Boizot, Eric Busvelle
    Pages 71-114
  4. Alexandru Ţiclea, Gildas Besançon
    Pages 115-138
  5. Back Matter

About this book


The problem of state reconstruction in dynamical systems, known as observer problem, is undoubtedly crucial for controlling or just monitoring processes. For linear systems, the corresponding theory has been quite well established for several years now, and the purpose of the present book is to propose an overview on possible tools in that respect for nonlinear systems. Basic observability notions and observer structures are first recalled, together with ingredients for advanced designs on this basis. A special attention is then paid to the well-known high gain techniques with a summary of various corresponding recent results. A focus on the celebrated Extended Kalman filter is also given, in the perspectives of both nonlinear filtering and high gain observers, leading to so-called adaptive-gain observers. The more specific immersion approach for observer design is then emphasized, while optimization-based methods are also presented as an alternative to analytic observers. Various practical application examples are included in those discussions, and some fields of application are further considered: first the problem of nonlinear output regulation is reformulated in a perspective of observers, and then the problem of parameter or fault estimation is briefly mentioned through some adaptive observer tools.


Adaptive Observer Extended Kalman Filter Fault Detection and Isolation (FDI) High Gain Monitoring Observer Form Receding Horizon State Observer Unknown Input Observer control dynamical system dynamical systems filtering nonlinear system optimization

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-73502-1
  • Online ISBN 978-3-540-73503-8
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
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