Overview
- Presents recent results in nonlinear observers and applications
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 363)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
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.
Bibliographic Information
Book Title: Nonlinear Observers and Applications
Authors: Gildas Besançon
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-540-73503-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-73502-1Published: 13 August 2007
eBook ISBN: 978-3-540-73503-8Published: 11 October 2007
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XII, 224
Topics: Control, Robotics, Mechatronics, Systems Theory, Control, Complex Systems, Statistical Physics and Dynamical Systems