Da: Ammareal, Morangis, Francia
Hardcover. Condizione: Comme neuf. Edition 2022. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2022. Ammareal gives back up to 15% of this item's net price to charity organizations.
EUR 111,02
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 111,01
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 122,57
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 117,92
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 125,30
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,51
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Editore: Wiley-Blackwell 2022-05-16, 2022
ISBN 10: 1119827922 ISBN 13: 9781119827924
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 130,24
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Da: Majestic Books, Hounslow, Regno Unito
EUR 155,49
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Da: Books Puddle, New York, NY, U.S.A.
EUR 165,48
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 124,12
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Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119827922 ISBN 13: 9781119827924
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 186,44
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Aggiungi al carrelloHardback. Condizione: New. Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems an accomplished team of engineers deliver a comprehensive introduction to distributed optimal control in power systems. The book re-imagines control design within the framework of cyber-physical systems with restrictions in both the physical and cyber spaces, addressing operational constraints, non-smooth objective functions, rapid power fluctuations caused by renewable generations, partial control coverage, communication delays, and non-identical sampling rates. This book bridges the gap between optimization and control in two ways. First, optimization-based feedback control is explored. The authors describe feedback controllers which automatically drive system states asymptotically to specific, desired optimal working points. Second, the book discusses feedback-based optimization. Leveraging the philosophy of feedback control, the authors envision the online solving of complicated optimization and control problems of power systems to adapt to time-varying environments. Readers will also find: A thorough argument against the traditional and centralized hierarchy of power system control in favor of the merged approach described in the bookComprehensive explorations of the fundamental changes gripping the power system today, including the increasing penetration of renewable and distributed generation, the proliferation of electric vehicles, and increases in load demandData, tables, illustrations, and case studies covering realistic power systems and experimentsIn-depth examinations of physical and cyber restrictions, as well as the robustness and adaptability of the proposed model Perfect for postgraduate students and researchers with the prerequisite knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, Merging Optimization and Control in Power Systems is an advanced and timely treatment of distributed optimal controller design.
Da: Revaluation Books, Exeter, Regno Unito
EUR 186,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 434 pages. 9.41x6.26x1.18 inches. In Stock.
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119827922 ISBN 13: 9781119827924
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 200,04
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Aggiungi al carrelloHardback. Condizione: New. Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems an accomplished team of engineers deliver a comprehensive introduction to distributed optimal control in power systems. The book re-imagines control design within the framework of cyber-physical systems with restrictions in both the physical and cyber spaces, addressing operational constraints, non-smooth objective functions, rapid power fluctuations caused by renewable generations, partial control coverage, communication delays, and non-identical sampling rates. This book bridges the gap between optimization and control in two ways. First, optimization-based feedback control is explored. The authors describe feedback controllers which automatically drive system states asymptotically to specific, desired optimal working points. Second, the book discusses feedback-based optimization. Leveraging the philosophy of feedback control, the authors envision the online solving of complicated optimization and control problems of power systems to adapt to time-varying environments. Readers will also find: A thorough argument against the traditional and centralized hierarchy of power system control in favor of the merged approach described in the bookComprehensive explorations of the fundamental changes gripping the power system today, including the increasing penetration of renewable and distributed generation, the proliferation of electric vehicles, and increases in load demandData, tables, illustrations, and case studies covering realistic power systems and experimentsIn-depth examinations of physical and cyber restrictions, as well as the robustness and adaptability of the proposed model Perfect for postgraduate students and researchers with the prerequisite knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, Merging Optimization and Control in Power Systems is an advanced and timely treatment of distributed optimal controller design.
Da: Revaluation Books, Exeter, Regno Unito
EUR 159,41
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Aggiungi al carrelloHardcover. Condizione: Brand New. 434 pages. 9.41x6.26x1.18 inches. In Stock. This item is printed on demand.