9781032610252 - multi-sensor filtering fusion with censored data under a constrained network environment di geng, hang; wang, zidong; cheng, yuhua (11 risultati)
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Multi-Sensor Filtering Fusion With Censored Data Under A Constrained Network Environment
Geng, Hang (Univ Of Elec Sci & Tech, China) Wang, Zidong (Brunel Univ, Uk) Cheng, Yuhua (Univ Of Elec Sci & Tech, China)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 238 pages. 6.14x0.59x9.21 inches. In Stock.
Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
Hang Geng (Univ of Elec Sci & Tech, China)|Zidong Wang (Brunel Univ, UK)|Yuhua Cheng (Univ of Elec Sci & Tech, China)
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Hang Geng received the B.Sc. degree in electronic information engineering in 2011 from Civil Aviation Flight University of China, the M.Sc. degree in electrical engineering and the Ph.D. degree in control science and engineering in 2014 and 2017, .
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Taschenbuch. Condizione: Neu. Neuware - This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized… and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features: - Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. - Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. - Provides theoretic values and engineering insights of the censored data and constrained network. - Discusses performance evaluation of the presented multi-sensor fusion algorithms. - Explores promising research directions on future multi-sensor fusion. This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.
Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment (Paperback)
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Paperback. Condizione: new. Paperback. This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized…and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features:Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.Provides theoretic values and engineering insights of the censored data and constrained network.Discusses performance evaluation of the presented multi-sensor fusion algorithms.Explores promising research directions on future multi-sensor fusion.This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion. This book presents the up-to-date research developments and novel methodologies on Multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment (Paperback)
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Paperback. Condizione: new. Paperback. This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized…and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features:Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.Provides theoretic values and engineering insights of the censored data and constrained network.Discusses performance evaluation of the presented multi-sensor fusion algorithms.Explores promising research directions on future multi-sensor fusion.This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion. This book presents the up-to-date research developments and novel methodologies on Multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment (Paperback)
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized…and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features:Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.Provides theoretic values and engineering insights of the censored data and constrained network.Discusses performance evaluation of the presented multi-sensor fusion algorithms.Explores promising research directions on future multi-sensor fusion.This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion. This book presents the up-to-date research developments and novel methodologies on Multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
