Predictive Modeling of Dynamic Processes, Stefan Hiermaier
Автор: Stefan Hiermaier Название: Predictive Modeling of Dynamic Processes ISBN: 1489979263 ISBN-13(EAN): 9781489979261 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. It successfully blends crash simulations with hydrocode technology, and offers an explanation of the fundamental code components.
Автор: Karl E. ?str?m; Jacques Richalet; Donal O`Donovan Название: Predictive Functional Control ISBN: 1849968454 ISBN-13(EAN): 9781849968454 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The last forty years have seen thousands of successful industrial applications of Predictive Functional Control controllers. This text offers a fundamental understanding of the principles of PFCs as well as numerous examples of industrial applications.
Автор: Vassilios Petridis; Athanasios Kehagias Название: Predictive Modular Neural Networks ISBN: 1461375401 ISBN-13(EAN): 9781461375401 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The subject of this book is predictive modular neural networks and their ap- plication to time series problems: classification, prediction and identification.
Автор: Grune Название: Nonlinear Model Predictive Control ISBN: 0857295004 ISBN-13(EAN): 9780857295002 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
Автор: Bahram Farahmand Название: Virtual Testing and Predictive Modeling ISBN: 1489983708 ISBN-13(EAN): 9781489983701 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This overview of cost- and time-efficient methods to obtain fatigue and fracture data introduces two virtual testing techniques. It includes a chapter devoted to the functionalization process as well as coverage of verification methods.
Автор: Jos? M. Maestre; Rudy R. Negenborn Название: Distributed Model Predictive Control Made Easy ISBN: 9402407146 ISBN-13(EAN): 9789402407143 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a state-of-the-art overview of distributed model predictive control (MPC) approaches. It carefully explains the core and rationale of 35 approaches, providing detailed step-by-step algorithmic descriptions of each approach.
Автор: Gergely Tak?cs; Boris Roha?-Ilkiv Название: Model Predictive Vibration Control ISBN: 144716072X ISBN-13(EAN): 9781447160724 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With more than 170 illustrations, this volume provides vital insights into the predictive control of lightly damped vibrating structures through efficient algorithms capable of low-frequency vibration control, guaranteed stability and constraint feasibility.
The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included.
This volume includes contributions on model based functional safety and fault-tolerant E/E architectures, advanced control making use of external information (from a cloud) as well and thermal management as a central part for energy optimization and finally some aspects on fuel cells.
The second volume (ISBN .....) includes chapters on ECO driving and ECO routing covering different approaches for optimal speed profiles for a given route (mostly interconnecting with cloud data).
Автор: Tahirovic Adnan Название: Passivity-based Model Predictive Control for Mobile Vehicle ISBN: 1447150481 ISBN-13(EAN): 9781447150480 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Passivity-based Model Predictive Control for Mobile Vehicle Navigation represents a complete theoretical approach to the adoption of passivity-based model predictive control (MPC) for autonomous vehicle navigation in both indoor and outdoor environments.
Описание: This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.
Автор: Roberto Luzzi; ?urea R. Vasconcellos; J. Galv?o Ra Название: Predictive Statistical Mechanics ISBN: 9048159636 ISBN-13(EAN): 9789048159635 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Within the framework of Jaynes' "Predictive Statistical Mechanics," this book presents a detailed derivation of an ensemble formalism for open systems arbitrarily away from equilibrium. This involves a large systematization and extension of the fundamental works and ideas of the outstanding pioneers Gibbs and Boltzmann, and of Bogoliubov, Kirkwood, Green, Mori, Zwanzig, Prigogine and Zubarev, among others. Chapters 1 to 5 include a description of the philosophy, foundations, and construction (methodology) of the formalism, including the derivation of a nonequilibrium grand-canonical ensemble for far-from-equilibrium systems as well as the derivation of a quantum nonlinear kinetic theory and a response function theory together with a theory of scattering. In chapter 6 applications of the theory are cataloged, making comparisons with experimental data (a basic step for the validation of any theory). Chapter 7 is devoted to the description of irreversible thermodynamics, providing a far-reaching generalization of Informational-Statistical Thermodynamics. The last chapter gives an overall picture of the formalism, and questions and criticisms related to it are discussed. Audience: This book is directed at an audience of researchers in the field of Statistical Mechanics and Thermodynamics of open nonequilibrium systems. In addition, it is relevant for the study of far-from-equilibrium processes in condensed matter, particularly semiconductor physics, as well as molecular Hydrodynamics, Rheology, many-body systems with complex behavior and areas of engineering, etc. The book can also be used as a complement to advanced graduate courses in Statistical Mechanics.
Название: Distributed model predictive control made easy ISBN: 9400770057 ISBN-13(EAN): 9789400770058 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Distributed Model Predictive Control Made Easy
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