Mathematical Modeling of Physical Systems, Chattopadhyay
Автор: Xie, Haiyan (School of Foreign Languages, Central China Normal University) Название: Advances in Mathematical and Computational Modeling of Engineering Systems ISBN: 1032392916 ISBN-13(EAN): 9781032392912 Издательство: Taylor&Francis Рейтинг: Цена: 22968.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The text focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including computer engineering, electrical engineering etc.
Описание: This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Название: Mathematical modeling for intelligent systems ISBN: 1032272252 ISBN-13(EAN): 9781032272252 Издательство: Taylor&Francis Рейтинг: Цена: 15310.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft computing techniques, the book covers every major technique in AI in a clear and practical style.
Автор: Langer Название: Scientific Computing in Electrical Engineering ISBN: 3319755374 ISBN-13(EAN): 9783319755373 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Foreword.- Preface.- Acknowledgements.- Part I Computational Electromagnetics: 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible by Ursula van Rienen et al.- 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement by Theresa Roland et al.- 3 Stability Analysis of Electromagnetic Transient Simulations by Wim Schoenmaker et al.- 4 Sensitivity of Lumped Parameters to Geometry Changes in Finite Element Models by Sebastian Schuhmacher et al.- 5 Electro-Thermal Simulations with Skin-Layers and Contacts by Christoph Winkelmann et al.- Part II Circuit and Device Modelling & Simulation: 6 Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation by Eric R. Keiter et al.- 7 Coupled Circuit Device Simulation by Kai Bittner et al.- Part III Coupled Problems and Multi-Scale Approaches in Space and Time: 8 Density Estimation Techniques in Cosimulation Using Spectral- and Kernel Methods by Kai Gausling et al.- 9 Multirate DAE/ODE-Simulation and Model Order Reduction for Coupled Field-Circuit Systems by Christoph Hachtel et al.- 10 Modelling and Simulation of Electrically Controlled Droplet Dynamics by Yun Ouйdraogo et al.-Part IV Mathematical and Computational Methods Including Uncertainty Quantification: 11 Multirate Shooting Method with Frequency Sweep for Circuit Simulation by Kai Bittner et al.- 12 A Trefftz Method for the Time-Harmonic Eddy Current Equation by Raffael Casagrande et al.- 13 Survey on Semi-Explicit Time Integration of Eddy Current Problems by Jennifer Dutinй et al.- 14 A Local Mesh Modification Strategy for Interface Problems with Application to Shape and Topology Optimization by Peter Gangl et al.- 15 Numerical Methods for Derivative-Based Global Sensitivity Analysis in High Dimensions by Qingzhe Liu et al.- 16 Fitting Generalized Gaussian Distributions for Process Capability Index by Theo G.J. Beelen et al.- 17 Robust Optimization of an RFIC Isolation Problem Under Uncertainties by Piotr Putek et al.- Part V Model Order Reduction: 18 Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs by Nicodemus Banagaaya et al.- 19 Quadrature Methods and Model Order Reduction for Sparse Approximations in Random Linear Dynamical Systems by Roland Pulch.- 20 POD-Based Reduced-Order Model of an Eddy-Current Levitation Problem by MD Rokibul Hasan et al.- 21 Time-Domain Reduced-Order Modelling of Linear Finite-Element Eddy-Current Problems via RL-Ladder Circuits by Ruth V. Sabariego et al.- Part VI Industrial Applications: 22 A Lagrangian Approach to the Simulation of a Constricted Vacuum Arc in a Magnetic Field by Massimiliano Cremonesi et al.- 23 Virtual High Voltage Lab by Andreas Blaszczyk et al.- Index.
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.
Provides insights on the development of new mathematical models of power system optimization
Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
Includes research on the optimization of power systems and related practical research projects carried out since 1981
Автор: Krishnan S. Hariharan; Piyush Tagade; Sanoop Ramac Название: Mathematical Modeling of Lithium Batteries ISBN: 3319791389 ISBN-13(EAN): 9783319791388 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals—often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier.Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well.The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.
Автор: Jeff D. Eldredge Название: Mathematical Modeling of Unsteady Inviscid Flows ISBN: 3030183181 ISBN-13(EAN): 9783030183189 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book builds inviscid flow analysis from an undergraduate-level treatment of potential flow to the level required for research. The tools covered in this book allow the reader to develop physics-based mathematical models for a variety of flows, including attached and separated flows past wings, fins, and blades of various shapes undergoing arbitrary motions. The book covers all of the ingredients of these models: the solution of potential flows about arbitrary body shapes in two- and three-dimensional contexts, with a particular focus on conformal mapping in the plane; the decomposition of the flow into contributions from ambient vorticity and body motion; generalized edge conditions, of which the Kutta condition is a special case; and the calculation of force and moment, with extensive treatments of added mass and the influence of fluid vorticity. The book also contains an extensive primer with all of the necessary mathematical tools. The concepts are demonstrated on several example problems, both classical and modern.
Автор: Vladimir S. Ajaev Название: Interfacial Fluid Mechanics ISBN: 1489998969 ISBN-13(EAN): 9781489998965 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction to mathematical models of viscous flow used in the rapidly developing fields of microfluidics and microscale heat transfer includes unique material on electrokinetic phenomena and interaction of fluid interfaces with structured surfaces.
Автор: Eldredge Jeff D. Название: Mathematical Modeling of Unsteady Inviscid Flows ISBN: 3030183211 ISBN-13(EAN): 9783030183219 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book builds inviscid flow analysis from an undergraduate-level treatment of potential flow to the level required for research.
Описание: This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements.
Автор: Michael Ruzicka Название: Electrorheological Fluids: Modeling and Mathematical Theory ISBN: 3540413855 ISBN-13(EAN): 9783540413851 Издательство: Springer Рейтинг: Цена: 7680.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to present a model, based on rational mechanics of electrorheological fluids, that takes into account the complex interactions between the electromagnetic fields and the moving liquid. Existence results for elliptic systems with non-standard growth conditions and with a nontrivial nonlinear r.h.s.
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