Modeling and Simulation in the Systems Engineering Life Cycle, Margaret L. Loper
Автор: Crawley, E.F., Malmqvist, J., Ostlund, S., Brodeur Название: Rethinking Engineering Education, 2 ed. ISBN: 3319055607 ISBN-13(EAN): 9783319055602 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes an approach to engineering education that integrates a comprehensive set of personal, interpersonal and professional engineering skills with engineering disciplinary knowledge in order to prepare innovative and entrepreneurial engineers.
This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics and Management, MS 2016, held in Teruel, Spain, in July 2016. The event was co-organized by the AMSE Association and the University of Zaragoza through the GESES Research Group, with the support of the SoGReS-MF Research Group from University Jaume I. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management.
The 20 papers in this book were carefully reviewed and selected from 52 submissions. They are organized in topical sections on modeling and simulation in finance and accounting; modeling and simulation in business management and economy; and engineering and other general applications.
Описание: Part I of this book accounts for new developments concerning robustness, systems with two time scales and related treatments utilizing singular perturbation analysis. Part II is mainly concerned with systems in which uncertainty comes out through quantum mechanical rules;
Описание: This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.
Описание: This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.
Автор: Mangey Ram; J. Paulo Davim Название: Modeling and Simulation in Industrial Engineering ISBN: 3319604317 ISBN-13(EAN): 9783319604312 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered.
Описание: Contains the invited papers presented at the 9th International Conference `Dynamical Systems - Theory and Applications` held in Lodz, Poland, December 17-20, 2007, dealing with nonlinear dynamical systems. This book is of interest to pure and applied scientists working in the field of nonlinear dynamics.
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