Model Engineering for Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Engineering for Simulation write by Lin Zhang. This book was released on 2019-02-27. Model Engineering for Simulation available in PDF, EPUB and Kindle. Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism Provides practical methods to improve credibility of models and manage the model lifecycle Helps readers gain an overall understanding of model lifecycle management and analysis Supported by an online ancillary package that includes an instructors and student solutions manual
Modeling and Simulation in the Systems Engineering Life Cycle
Modeling and Simulation in the Systems Engineering Life Cycle - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling and Simulation in the Systems Engineering Life Cycle write by Margaret L. Loper. This book was released on 2015-04-30. Modeling and Simulation in the Systems Engineering Life Cycle available in PDF, EPUB and Kindle. This easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.
What Every Engineer Should Know About Modeling and Simulation
What Every Engineer Should Know About Modeling and Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook What Every Engineer Should Know About Modeling and Simulation write by Raymond J. Madachy. This book was released on 2017-09-01. What Every Engineer Should Know About Modeling and Simulation available in PDF, EPUB and Kindle. This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.
Modeling and Simulation in Engineering
Modeling and Simulation in Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling and Simulation in Engineering write by Catalin Alexandru. This book was released on 2012-03-07. Modeling and Simulation in Engineering available in PDF, EPUB and Kindle. This book provides an open platform to establish and share knowledge developed by scholars, scientists, and engineers from all over the world, about various applications of the modeling and simulation in the design process of products, in various engineering fields. The book consists of 12 chapters arranged in two sections (3D Modeling and Virtual Prototyping), reflecting the multidimensionality of applications related to modeling and simulation. Some of the most recent modeling and simulation techniques, as well as some of the most accurate and sophisticated software in treating complex systems, are applied. All the original contributions in this book are jointed by the basic principle of a successful modeling and simulation process: as complex as necessary, and as simple as possible. The idea is to manipulate the simplifying assumptions in a way that reduces the complexity of the model (in order to make a real-time simulation), but without altering the precision of the results.
Distributed Simulation
Distributed Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Simulation write by Okan Topçu. This book was released on 2016-01-27. Distributed Simulation available in PDF, EPUB and Kindle. This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain. Topics and features: Provides a thorough introduction to the fundamental concepts, principles and processes of modeling and simulation, MDE and high-level architecture Describes a road map for building a DS system in accordance with the MDE perspective, and a technical framework for the development of conceptual models Presents a focus on federate (simulation environment) architectures, detailing a practical approach to the design of federations (i.e., simulation member design) Discusses the main activities related to scenario management in DS, and explores the process of MDE-based implementation, integration and testing Reviews approaches to simulation evolution and modernization, including architecture-driven modernization for simulation modernization Examines the potential synergies between the agent, DS, and MDE methodologies, suggesting avenues for future research at the intersection of these three fields Distributed Simulation – A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.
