Nonlinear Observers and Applications
By: Besan�on, Gildas [author.1].
Contributor(s): SpringerLink (Online service)0.
Material type:
BookSeries: Lecture Notes in Control and Information Sciences, 3630.Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. Description: XII, 224 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540735038.Subject(s): Engineering. 0 | System theory. 0 | Statistical physics. 0 | Dynamical systems. 0 | Control engineering. 0 | Robotics. 0 | Mechatronics.14 | Engineering.24 | Control, Robotics, Mechatronics.24 | Systems Theory, Control.24 | Statistical Physics, Dynamical Systems and Complexity.2DDC classification: 629.8 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| PK Kelkar Library, IIT Kanpur | Available | EBK10165 |
An Overview on Observer Tools for Nonlinear Systems -- Uniform Observability and Observer Synthesis -- Adaptive-Gain Observers and Applications -- Immersion-Based Observer Design -- Nonlinear Moving Horizon Observers: Theory and Real-Time Implementation -- Asymptotic Analysis and Observer Design in the Theory of Nonlinear Output Regulation -- Parameter/Fault Estimation in Nonlinear Systems and Adaptive Observers.
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. 0
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