scispace - formally typeset
Search or ask a question
Author

Gildas Besancon

Bio: Gildas Besancon is an academic researcher from University of Grenoble. The author has contributed to research in topics: Observer (quantum physics) & Nonlinear system. The author has an hindex of 28, co-authored 258 publications receiving 3550 citations. Previous affiliations of Gildas Besancon include École nationale supérieure d'ingénieurs électriciens de Grenoble & CINVESTAV.


Papers
More filters
Book
01 Aug 2007
TL;DR: This paper presents an overview of Observer Tools for Nonlinear Systems and their applications, and discusses Parameter/Fault Estimation in Nonlinear systems and Adaptive Observers.
Abstract: 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.

475 citations

Journal ArticleDOI
TL;DR: In this article, a unifying adaptive observer form is proposed, which emphasizes properties allowing some asymptotic state estimation in spite of unknown parameters, as well as additional properties which further allow parameter estimation.

303 citations

Journal ArticleDOI
TL;DR: In this paper, the problem of adaptive observer design for the class of state affine systems is discussed, based on recent results on adaptive observer with exponential rate of convergence obtained for multi-input-multi-output linear time varying systems on the one hand, and the well-known Kalman-like design for state affines on the other.
Abstract: In this paper, the problem of adaptive observer design for the class of state affine systems is discussed. The discussion is based on recent results on adaptive observer with exponential rate of convergence obtained for multi-input–multi-output linear time varying systems on the one hand, and the well-known Kalman-like design for state affine systems on the other. In particular the relationship between both designs is emphasized, showing how they can even be equivalent. The interest of such an adaptive observer for state affine systems is illustrated by the example of state and parameter estimation for the Lorenz chaotic system. The observer performances are illustrated via simulation.

170 citations

Journal ArticleDOI
TL;DR: This paper provides an observer for the block-stateaffine cascade systems, up to cascade non-linear injections, with necessary and sufficient conditions characterizing a subset of this class, together with a symbolically computable test.

145 citations

Journal ArticleDOI
TL;DR: Here the use of high-gain observer techniques is inspected, with a purpose of attenuation of disturbances rather than exact decoupling, and their possible use in fault detection is discussed.

103 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.
Abstract: With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.

2,026 citations

Book ChapterDOI
11 Dec 2012

1,704 citations

Journal ArticleDOI

1,604 citations

Book ChapterDOI
TL;DR: This expository presentation addresses the precise formulation of questions of robustness with respect to disturbances, formulated in the paradigm of input to state stability, with an intuitive and informal presentation of the main concepts.
Abstract: The analysis and design of nonlinear feedback systems has recently undergone an exceptionally rich period of progress and maturation, fueled, to a great extent, by (1) the discovery of certain basic conceptual notions, and (2) the identification of classes of systems for which systematic decomposition approaches can result in effective and easily computable control laws. These two aspects are complementary, since the latter approaches are, typically, based upon the inductive verification of the validity of the former system properties under compositions (in the terminology used in [62], the “activation” of theoretical concepts leads to “constructive” control). This expository presentation addresses the first of these aspects, and in particular the precise formulation of questions of robustness with respect to disturbances, formulated in the paradigm of input to state stability. We provide an intuitive and informal presentation of the main concepts. More precise statements, especially about older results, are given in the cited papers, as well as in several previous surveys such as [103] and [105] (of which the present paper represents an update), but we provide a little more detail about relatively recent work. Regarding applications and extensions of the basic framework, we give some pointers to the literature, but we do not focus on feedback design and specific engineering problems; for the latter we refer the reader to textbooks such as [43], [60], [58], [96], [66], [27], [44].

1,142 citations