Innovative Techniques and Applications of Modelling, Identification and Control, Quanmin Zhu; Jing Na; Xing Wu
Автор: J?n Mikle?; Miroslav Fikar Название: Process Modelling, Identification, and Control ISBN: 3642091121 ISBN-13(EAN): 9783642091124 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Control and automation in its broadest sense plays a fundamental role in process industries. Control assures stability of technologies, disturbance - tenuation, safety of equipment and environment as well as optimal process operation from economic point of view. This book intends to present modern automatic control methods and their applications in process control in p- cess industries. The processes studied mainly involve mass and heat transfer processes and chemical reactors. It is assumed that the reader has already a basic knowledge about c- trolled processes and about di?erential and integral calculus as well as about matrixalgebra.Automaticcontrolproblemsinvolvemathematicsmorethanit is usual in other engineering disciplines. The book treats problems in a similar way as it is in mathematics. The problem is formulated at ?rst, then the t- orem is stated. Only necessary conditions are usually proved and su?ciency is left aside as it follows from the physical nature of the problem solved. This helps to follow the engineering character of problems. The intended audience of this book includes graduate students but can also be of interest to practising engineers or applied scientists.
This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.
The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book a valuable asset for researchers, engineers, and university students alike.
Описание: Modelling and system identification.- Advanced control methods.- Signal processing for condition monitoring and fault diagnosis.- Applications.
Автор: Jinjun Wang, Lihao Feng Название: Flow Control Techniques and Applications ISBN: 1107161568 ISBN-13(EAN): 9781107161566 Издательство: Cambridge Academ Рейтинг: Цена: 13938.00 р. Наличие на складе: Поставка под заказ.
Описание: This is the first book to systematically describe different flow control techniques, with each chapter discussing a particular technique, its main characteristics, applications, and control mechanism. The history and development of flow control are also discussed, offering students, researchers and engineers a solid background in the topic.
Автор: Nigel Thomas; Matthew Forshaw Название: Analytical and Stochastic Modelling Techniques and Applications ISBN: 3319614274 ISBN-13(EAN): 9783319614274 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.The 14 full papers presented in this book were carefully reviewed and selected from 27 submissions.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Описание: Dedicated to the pioneering Prof. Peter Young, this volume features cutting-edge research in systems and control subjects he has covered in 45 years of research, including system identification, time-series analysis, environmetric modelling and system design.
Описание: Endlich ein Fachbuch mit detaillierten Informationen zu einer der fortschrittlichsten Methoden zur Materialcharakterisierung. Ein herausragendes Team aus Herausgebern und Autoren von renommierten Einrichtungen und Institutionen besch ftigt sich mit Synchrotron-Verfahren, die sich in der Materialforschung bew hrt haben. Nach einer Einf 1/4hrung in die Synchrotronstrahlung und ihrer Quellen werden die verschiedenen Techniken beschrieben, die von diesem besonders hellen Licht profitieren, u. a. R ntgenabsorption, Diffraktion, Streuung, Bildgebung und Lithographie. Zum Schluss folgt ein œberblick 1/4ber die Anwendungen der Synchrotronstrahlung in den Materialwissenschaften. Dieses einzigartige, unabdingbare Referenzwerk f 1/4r akademische Forscher und Forscher aus der Industrie verbindet Spezialisten aus der Synchrotronforschung und Materialwissenschaftler.
Автор: Honglei Xu; Kok Lay Teo; Yi Zhang Название: Optimization and Control Techniques and Applications ISBN: 3662525089 ISBN-13(EAN): 9783662525081 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advances in state-of-the-art solution methods and their applications to real life practical problems in optimization, control and operations research.
Описание: This book presents an authoritative collection of contributions by researchers from 16 different countries (Austria, Chile, Georgia, Germany, Mexico, Norway, P.R. of China, Poland, North Macedonia, Romania, Russia, Spain, Turkey, Ukraine, the United Kingdom and United States) that report on recent developments and new directions in advanced control systems, together with new theoretical findings, industrial applications and case studies on complex engineering systems. This book is dedicated to Professor Vsevolod Mykhailovych Kuntsevich, an Academician of the National Academy of Sciences of Ukraine, and President of the National Committee of the Ukrainian Association on Automatic Control, in recognition of his pioneering works, his great scientific and scholarly achievements, and his years of service to many scientific and professional communities, notably those involved in automation, cybernetics, control, management and, more specifically, the fundamentals and applications of tools and techniques for dealing with uncertain information, robustness, non-linearity, extremal systems, discrete control systems, adaptive control systems and others. Covering essential theories, methods and new challenges in control systems design, the book is not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. Its 15 chapters are grouped into four sections: (a) fundamental theoretical issues in complex engineering systems, (b) artificial intelligence and soft computing for control and decision-making systems, (c) advanced control techniques for industrial and collaborative automation, and (d) modern applications for management and information processing in complex systems. All chapters are intended to provide an easy-to-follow introduction to the topics addressed, including the most relevant references. At the same time, they reflect various aspects of the latest research work being conducted around the world and, therefore, provide information on the state of the art.
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