TY - BOOK ID - 5453361 TI - Nonlinear observers and applications PY - 2007 VL - 363 SN - 9783540735021 354073502X 3540735038 PB - Berlin ; Heidelberg : Springer, DB - UniCat KW - Observers (Control theory) KW - Nonlinear control theory KW - Observabilité (Théorie de la commande) KW - Commande non linéaire KW - Operations Research KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - Nonlinear control theory. KW - Observability (Control theory) KW - State estimator (Control theory) KW - State observer (Control theory) KW - Engineering. KW - System theory. KW - Statistical physics. KW - Dynamical systems. KW - Control engineering. KW - Robotics. KW - Mechatronics. KW - Control, Robotics, Mechatronics. KW - Systems Theory, Control. KW - Statistical Physics, Dynamical Systems and Complexity. KW - Control theory KW - Nonlinear theories KW - Complex Systems. KW - Statistical Physics and Dynamical Systems. KW - Physics KW - Mathematical statistics KW - Systems, Theory of KW - Systems science KW - Science KW - Statistical methods KW - Philosophy KW - Systems theory. KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Mechanics KW - Statics KW - Mechanical engineering KW - Microelectronics KW - Microelectromechanical systems KW - Automation KW - Machine theory KW - Control engineering KW - Control equipment KW - Engineering instruments KW - Programmable controllers UR - https://www.unicat.be/uniCat?func=search&query=sysid:5453361 AB - 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. ER -