Time-Scale Modeling of Dynamic Networks with Applications to Power Systems, J.H. Chow
Автор: Fairhurst Danielle Stein Название: Financial Modeling in Excel for Dummies ISBN: 1119357543 ISBN-13(EAN): 9781119357544 Издательство: Wiley Рейтинг: Цена: 3483.00 р. Наличие на складе: Поставка под заказ.
Описание: Make informed business decisions with the beginner`s guide to financial modeling using Microsoft Excel Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today.
Автор: Ljung, Lennart Glad, Torkel Название: Modeling and Identification of Dynamic Systems ISBN: 9144116888 ISBN-13(EAN): 9789144116884 Издательство: Gazelle Book Services Рейтинг: Цена: 11088.00 р. Наличие на складе: Поставка под заказ.
Описание: Mathematical models of real life systems and processes are essential in todays industrial work. To be able to construct such models is therefore a fundamental skill in modern engineering. This is a book about how to build models both from first principles in physics and from information in collected input and output measurements from the system. Physical modelling is nowadays typically done by object oriented software, such as Modelica and Matlabs Simscape. These techniques are described in the book, together with their theoretical and mathematical underlying principles. Domain-independent methods, such as following energy flows in bond graphs gives a useful background for understanding object oriented modelling. Both classical state-space models and general differential algebraic equations (DAE) are treated. The book also gives a comprehensive treatment of system identification, that is, techniques to estimate mathematical models from measured system inputs and outputs. Both linear and non-linear models are treated, including artificial neural networks. The text is related to the Swedish text Modellbygge och Simulering, Studentlitteratur, 2003.
Автор: Da Silva Fabricio Alves Barbosa, Carels Nicolas, Trindade Dos Santos Marcelo Название: Networks in Systems Biology: Applications for Disease Modeling ISBN: 3030518612 ISBN-13(EAN): 9783030518615 Издательство: Springer Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer.
Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book.
Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
Автор: Morand Linda Название: Electrical Power Systems: Design, Networks and Applications ISBN: 1682855724 ISBN-13(EAN): 9781682855720 Издательство: Неизвестно Рейтинг: Цена: 24140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book collects new research ideas and achievements including adelay-dependent robust design method, a wide area robust coordination strategy,a hybrid assessment and choice method for wide area signals, a free-weightingmatrices method and its application, as well as the online identificationmethods for low-frequency oscillations.
Описание: This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8
Описание: This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications.
Описание: This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell.
Автор: Farzaneh Hooman Название: Energy Systems Modeling: Principles and Applications ISBN: 9811362238 ISBN-13(EAN): 9789811362231 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book opens with a taxonomy of energy models and treatment of descriptive and analytical models, providing the reader with a foundation of the basic principles underlying the energy models and positioning these principles in the context of energy system studies.
Автор: Tschangho John Kim; Jeong Hyun Rho; Sunduck Suh Название: Integrated Urban Systems Modeling: Theory and Applications ISBN: 9401075832 ISBN-13(EAN): 9789401075831 Издательство: Springer Рейтинг: Цена: 24450.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A wide range of books on urban systems models are available today for the student of urban planning, geography, and economics.
Автор: Goutam Kumar Bose, Pritam Pain Название: Machine Learning Applications in Non-Conventional Machining Processes ISBN: 179983624X ISBN-13(EAN): 9781799836247 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31046.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditional machining has many limitations in today's technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking.
Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today's technology-driven market.
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