Adaptive Control of Solar Energy Collector Systems, Jo?o M. Lemos; Rui Neves-Silva; Jos? M. Igreja

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Цена: 139340.00 T
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Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 243800.00 T
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Автор: Eduardo F. Camacho; Manuel Berenguel; Francisco R.
Название: Control of Solar Energy Systems
ISBN: 1447161718 ISBN-13(EAN): 9781447161714
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book details the main solar energy systems, problems involved with their control and how control systems can help in increasing efficiency. It examines thermal energy systems as well as photovoltaic generation and other solar energy applications.

Автор: Iulian Munteanu; Antoneta Iuliana Bratcu; Nicolaos
Название: Optimal Control of Wind Energy Systems
ISBN: 1849967245 ISBN-13(EAN): 9781849967242
Издательство: Springer
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Цена: 181670.00 T
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Описание: Covering all aspects of this important topic, this work presents a review of the main control issues in wind power generation, offering a unified picture of the issues surrounding its optimal control.

Автор: Venkata Yaramasu, Bin Wu
Название: Model Predictive Control of Wind Energy Conversion Systems
ISBN: 1118988582 ISBN-13(EAN): 9781118988589
Издательство: Wiley
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Цена: 125610.00 T
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Описание:

Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems.

The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book:

• Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results
• Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations
• Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques
• Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission.
• Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website

Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.

Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.