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Comparative law --- European law --- Criminal law. Criminal procedure --- Law of civil procedure --- rechtsbescherming --- burgerlijk recht --- procesrecht --- strafprocesrecht --- Ebooks --- Appellate procedure --- Judgments by default --- Criminal procedure --- Civil procedure --- Voies de recours --- Jugements par défaut --- Procédure pénale --- Procédure civile --- E-books --- 343.1 --- 343.1 Strafvordering --(algemeen) --- Strafvordering --(algemeen) --- Belgique --- Jugements par défaut --- Défaut (droit) --- Procédure (droit européen)

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This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to experimental design for fault diagnosis. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks. All approaches described in this book are illustrated by practical applications.

Nonlinear systems. --- Fault location (Engineering) --- Systèmes non linéaires --- Détection de défaut (Ingénierie) --- Mathematical models. --- Modèles mathématiques --- Electronic books. -- local. --- Fault location (Engineering) -- Mathematical models. --- Nonlinear systems --- Industrial & Management Engineering --- Mechanical Engineering - General --- Operations Research --- Mechanical Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematical models --- Location of system faults --- System fault location (Engineering) --- Systems, Nonlinear --- Engineering. --- System theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Dynamic testing --- System theory --- Systems theory. --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Fault location (Engineering) --- Neural networks (Computer science) --- Détection de défaut (Ingénierie) --- Réseaux neuronaux (Informatique) --- Industrial & Management Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Location of system faults --- System fault location (Engineering) --- Engineering. --- Artificial intelligence. --- System theory. --- Statistical physics. --- Dynamical systems. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Artificial Intelligence (incl. Robotics). --- Statistical Physics, Dynamical Systems and Complexity. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Systems, Theory of --- Systems science --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Statistical methods --- Philosophy --- Artificial Intelligence. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Systems theory. --- Artificial intelligence --- Natural computation --- Soft computing --- Dynamic testing