Автор: Nagrath, I.j. Gopal, M. Название: Control systems engineering ISBN: 1848290039 ISBN-13(EAN): 9781848290037 Издательство: Amazon Internet Рейтинг: Цена: 38500.00 T Наличие на складе: Есть Описание: Provides an integrated treatment of continuous-time and discrete-time systems. This book emphasizes the interdisciplinary nature of the subject. It deals with the modeling of practical systems involving various hardware. It discusses time and frequency domain techniques of the analysis and design of control systems.
Автор: Micouin Название: Model Based Systems Engineering: Fundamentals and Methods ISBN: 1848214693 ISBN-13(EAN): 9781848214699 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a contribution to the definition of a model based system engineering (MBSE) approach, designed to meet the objectives laid out by the INCOSE. After pointing out the complexity that jeopardizes a lot of system developments, the book examines fundamental aspects of systems under consideration.
Автор: Buede Dennis M Название: Engineering Design of Systems, 3 ed. ISBN: 111902790X ISBN-13(EAN): 9781119027904 Издательство: Wiley Рейтинг: Цена: 118270.00 T Наличие на складе: Поставка под заказ. Описание: New for the third edition, chapters on: Complete Exercise of the SE Process, System Science and Analytics and The Value of Systems Engineering The book takes a model-based approach to key systems engineering design activities and introduces methods and models used in the real world.
Автор: Dornberger Название: Business Information Systems and Technology 4.0 ISBN: 331974321X ISBN-13(EAN): 9783319743219 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses digitalization trends and their concrete applications in business and societal contexts. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level.
Автор: Stanley B. Gershwin; Yves Dallery; Chrissoleon T. Название: Analysis and Modeling of Manufacturing Systems ISBN: 1461353548 ISBN-13(EAN): 9781461353546 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains.
Deep Learning and Parallel Computing Environment for Bio-Engineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas.
Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems
Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems
Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
Автор: Tiumentsev, Yury Название: Neural Network Modeling and Identification of Dynamical Systems ISBN: 0128152540 ISBN-13(EAN): 9780128152546 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft.
Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training
Offers application examples of dynamic neural network technologies, primarily related to aircraft
Provides an overview of recent achievements and future needs in this area
Автор: Dhillon, B. S. Название: Systems Reliability and Usability for Engineers ISBN: 1138594938 ISBN-13(EAN): 9781138594937 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book integrates up-to-date and useful engineering systems reliability and usability developments and concepts, for developing, designing, maintaining, and improving engineering systems in the industrial sector. The book offers many examples and solutions to test reader comprehension.
Автор: B. V. Senthil Kumar, Hemen Dutta Название: Discrete Mathematical Structures: A Succinct Foundation ISBN: 0367148692 ISBN-13(EAN): 9780367148690 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Нет в наличии. Описание: Discrete mathematical Structures are very essential for many fields of study. This book is designed as an introductory book that will provide a sufficient number of solved examples, to motivate the reader to solve similar types of problems.
Автор: Steven L. Brunton, J. Nathan Kutz Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN: 1108422098 ISBN-13(EAN): 9781108422093 Издательство: Amazon Internet Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
Автор: Fernandez Jose L., Hernandez Carlos Название: Practical Model-Based Systems Engineering ISBN: 1630815799 ISBN-13(EAN): 9781630815790 Издательство: Artech House Рейтинг: Цена: 146610.00 T Наличие на складе: Нет в наличии. Описание: This comprehensive resource provides systems engineers and practitioners with the analytic, design and modeling tools of the Model Based Systems Engineering (MBSE) methodology of Integrated Systems Engineering (ISE) and Pipelines of Processes in Object Oriented Architectures (PPOOA) methodology.
Автор: Timothy Ganesan Название: Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities ISBN: 1799817113 ISBN-13(EAN): 9781799817116 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 146910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
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