Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language, Nwulu Nnamdi, Gbadamosi Saheed Lekan
Автор: Robert Lewis & Alois Zoitl Название: Modelling Control Systems Using Iec 61499 2Nd Edition ISBN: 1849197601 ISBN-13(EAN): 9781849197601 Издательство: Неизвестно Цена: 26553.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
IEC 61499 is a standard for modelling distributed control systems for use in industrial automation, and is already having an impact on the design and implementation of industrial control systems that involve the integration of programmable logic controllers, intelligent devices and sensors.
Modelling Control Systems Using IEC 61499. 2nd Edition provides a concise and yet thorough introduction to the main concepts and models defined in the standard. Topics covered include defining applications, systems, distributing applications on the system's devices, function blocks, structuring applications, service interface function blocks, event function blocks, and examples of industrial applications.
This second edition has been significantly updated to reflect the current second release of IEC 61499, including changes in the function block model, its execution, and the newly standardized XML exchange format for model artefacts, and to reflect lessons learned from the author's teaching of IEC 61499 over the last ten years. This book will be of interest to research-led control and process engineers and students working in fields that require complex control systems using networked based distributed control.
Описание: Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems.
Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.
Автор: Xiao-Ping Zhang; Christian Rehtanz; Bikash Pal Название: Flexible AC Transmission Systems: Modelling and Control ISBN: 364244508X ISBN-13(EAN): 9783642445088 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The extended and revised second edition of this successful monograph presents advanced modeling, analysis and control techniques of Flexible AC Transmission Systems (FACTS). The book covers comprehensively a range of power-system control problems: from steady-state voltage and power flow control, to voltage and reactive power control, to voltage stability control, to small signal stability control using FACTS controllers.
In the six years since the first edition of the book has been published research on the FACTS has continued to flourish while renewable energy has developed into a mature and booming global green business. The second edition reflects the new developments in converter configuration, smart grid technologies, super power grid developments worldwide, new approaches for FACTS control design, new controllers for distribution system control, and power electronic controllers in wind generation operation and control. The latest trends of VSC-HVDC with multilevel architecture have been included and four completely new chapters have been added devoted to Multi-Agent Systems for Coordinated Control of FACTS-devices, Power System Stability Control using FACTS with Multiple Operating Points, Control of a Looping Device in a Distribution System, and Power Electronic Control for Wind Generation.
Автор: G.S. Christensen; S.A. Soliman Название: Optimal Long-Term Operation of Electric Power Systems ISBN: 1468454951 ISBN-13(EAN): 9781468454956 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with a very important problem in power system planning for countries in which hydrogeneration accounts for the greatest part of the system power production.
Автор: Giuseppe Conte; Claude H. Moog; Anna Maria Perdon Название: Algebraic Methods for Nonlinear Control Systems ISBN: 1849966257 ISBN-13(EAN): 9781849966252 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students. It is the first book dealing with the linear-algebraic approach to nonlinear control systems in such a detailed and extensive fashion.
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