Industrial Process Automation Systems,, Y. Jaganmohan Reddy

Автор: David P. Buse; Q.H. Wu
Название: IP Network-based Multi-agent Systems for Industrial Automation
ISBN: 1849966354 ISBN-13(EAN): 9781849966351
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents.

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Цена: 20901.00 р.
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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: Lamb Frank
Название: Industrial Automation: Hands On
ISBN: 0071816453 ISBN-13(EAN): 9780071816458
Издательство: McGraw-Hill
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Цена: 10123.00 р.
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Описание: This practical introduction to the basics of machine automation offers detailed coverage of industrial machine building and automation concepts, applications, and terminology.

Автор: Kok Kiong Tan; Andi Sudjana Putra
Название: Drives and Control for Industrial Automation
ISBN: 1447126068 ISBN-13(EAN): 9781447126065
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This text offers the material necessary to understand servo control in automation. It begins with a macroscopic view, treating drives and control as parts of a single system, before it pursues a detailed discussion of the major components of servo control.

Автор: Luo
Название: Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes
ISBN: 3658159278 ISBN-13(EAN): 9783658159276
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.