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Distributed control and filtering for industrial systems / Magdi S. Mahmoud

Public ISBD Titre : Distributed control and filtering for industrial systems Type de document : texte imprimé Auteurs : Magdi S. Mahmoud, Auteur Editeur : London : The institution of engineering and technology Année de publication : 2013 Collection : IET Control engineering series num. 88 Importance : XII, 465 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-84919-607-9 Note générale : Bibliogr. p. 421-454. - Index Langues : Anglais (eng) Mots-clés : Systems,  Theory  of Command,  Theory  of Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : In recent years technological advancements in the design and fabrication of integrated circuits have led to the development of cost effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new applications for which pervasive network architectures are being developed. A key feature of these systems is that they are decentralized and communication among different subsystems may be unreliable. From an engineering viewpoint, to ensure correct operation, the theoretical analysis requires a fundamental paradigm shift, as many of the typical assumptions of systems and control theory cease to hold. Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications. Topics covered include control architectures for interconnected systems, recent developments in distributed model predictive control for interconnected networked systems, methods for designing distributed linear quadratic controllers for various classes of systems, designing distributed dynamic output-feedback controllers, characterization of distributed consensus control methods, distributed estimation techniques, distributed Kalman filtering methods, experimental setups and simulation of pilot-scale industrial processes. Note de contenu : Summary : 1. Distributed model predictive control 2. Distributed observer-based control 3. Distributed adaptive estimation 4. Distributed Kalman filtering 5. Experimental setups Distributed control and filtering for industrial systems [texte imprimé] / Magdi S. Mahmoud, Auteur . - The institution of engineering and technology, 2013 . - XII, 465 p. : ill. ; 24 cm. - (IET Control engineering series; 88) . ISBN : 978-1-84919-607-9 Bibliogr. p. 421-454. - Index Langues : Anglais (eng) Mots-clés : Systems,  Theory  of Command,  Theory  of Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : In recent years technological advancements in the design and fabrication of integrated circuits have led to the development of cost effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new applications for which pervasive network architectures are being developed. A key feature of these systems is that they are decentralized and communication among different subsystems may be unreliable. From an engineering viewpoint, to ensure correct operation, the theoretical analysis requires a fundamental paradigm shift, as many of the typical assumptions of systems and control theory cease to hold. Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications. Topics covered include control architectures for interconnected systems, recent developments in distributed model predictive control for interconnected networked systems, methods for designing distributed linear quadratic controllers for various classes of systems, designing distributed dynamic output-feedback controllers, characterization of distributed consensus control methods, distributed estimation techniques, distributed Kalman filtering methods, experimental setups and simulation of pilot-scale industrial processes. Note de contenu : Summary : 1. Distributed model predictive control 2. Distributed observer-based control 3. Distributed adaptive estimation 4. Distributed Kalman filtering 5. Experimental setups

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
055219	621.382 MAH	Papier	Bibliothèque Centrale	Automatique	Disponible	En bon état
055218	621.382 MAH	Papier	Bibliothèque Centrale	Automatique	Disponible	Consultation sur place