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Model Engineering for Simulation

Model Engineering for Simulation
A Book

by Lin Zhang,Bernard P. Zeigler,Yuanjun LaiLi

  • Publisher : Academic Press
  • Release : 2019-02-27
  • Pages : 453
  • ISBN : 0128135441
  • Language : En, Es, Fr & De
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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

Model Engineering for Simulation

Model Engineering for Simulation
A Book

by Lin Zhang,Bernard P. Zeigler,Yuanjun LaiLi

  • Publisher : Academic Press
  • Release : 2019-02-27
  • Pages : 453
  • ISBN : 0128135441
  • Language : En, Es, Fr & De
GET BOOK

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

What Every Engineer Should Know About Modeling and Simulation

What Every Engineer Should Know About Modeling and Simulation
A Book

by Raymond J. Madachy,Daniel Houston

  • Publisher : CRC Press
  • Release : 2017-09-01
  • Pages : 152
  • ISBN : 1351648640
  • Language : En, Es, Fr & De
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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.

Process Modeling and Simulation for Chemical Engineers

Process Modeling and Simulation for Chemical Engineers
Theory and Practice

by Simant R. Upreti

  • Publisher : John Wiley & Sons
  • Release : 2017-05
  • Pages : 368
  • ISBN : 1118914686
  • Language : En, Es, Fr & De
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This book provides a rigorous treatment of the fundamental concepts and techniques involved in process modeling and simulation. The book allows the reader to: (i) Get a solid grasp of “under-the-hood” mathematical results (ii) Develop models of sophisticated processes (iii) Transform models to different geometries and domains as appropriate (iv) Utilize various model simplification techniques (v) Learn simple and effective computational methods for model simulation (vi) Intensify the effectiveness of their research Modeling and Simulation for Chemical Engineers: Theory and Practice begins with an introduction to the terminology of process modeling and simulation. Chapters 2 and 3 cover fundamental and constitutive relations, while Chapter 4 on model formulation builds on these relations. Chapters 5 and 6 introduce the advanced techniques of model transformation and simplification. Chapter 7 deals with model simulation, and the final chapter reviews important mathematical concepts. Presented in a methodical, systematic way, this book is suitable as a self-study guide or as a graduate reference, and includes examples, schematics and diagrams to enrich understanding. End of chapter problems with solutions and computer software available online at www.wiley.com/go/upreti/pms_for_chemical_engineers are designed to further stimulate readers to apply the newly learned concepts.

Modelling and Simulation of Integrated Systems in Engineering

Modelling and Simulation of Integrated Systems in Engineering
Issues of Methodology, Quality, Testing and Application

by D J Murray-Smith

  • Publisher : Elsevier
  • Release : 2012-05-30
  • Pages : 372
  • ISBN : 0857096052
  • Language : En, Es, Fr & De
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This book places particular emphasis on issues of model quality and ideas of model testing and validation. Mathematical and computer-based models provide a foundation for explaining complex behaviour, decision-making, engineering design and for real-time simulators for research and training. Many engineering design techniques depend on suitable models, assessment of the adequacy of a given model for an intended application is therefore critically important. Generic model structures and dependable libraries of sub-models that can be applied repeatedly are increasingly important. Applications are drawn from the fields of mechanical, aeronautical and control engineering, and involve non-linear lumped-parameter models described by ordinary differential equations. Focuses on issues of model quality and the suitability of a given model for a specific application Multidisciplinary problems within engineering feature strongly in the applications The development and testing of nonlinear dynamic models is given very strong emphasis

Distributed Simulation

Distributed Simulation
A Model Driven Engineering Approach

by Okan Topçu,Umut Durak,Halit Oğuztüzün,Levent Yilmaz

  • Publisher : Springer
  • Release : 2016-01-27
  • Pages : 276
  • ISBN : 3319030507
  • Language : En, Es, Fr & De
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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.

Mathematical Modeling and Simulation

Mathematical Modeling and Simulation
Introduction for Scientists and Engineers

by Kai Velten

  • Publisher : John Wiley & Sons
  • Release : 2009-06-01
  • Pages : 362
  • ISBN : 3527627618
  • Language : En, Es, Fr & De
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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail. Based on the author`s modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software - including 3D CFD and structural mechanics simulation software - can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).

Simulation for Cyber-Physical Systems Engineering

Simulation for Cyber-Physical Systems Engineering
A Cloud-Based Context

by José L. Risco Martín,Saurabh Mittal,Tuncer Ören

  • Publisher : Springer Nature
  • Release : 2020-11-07
  • Pages : 451
  • ISBN : 3030519090
  • Language : En, Es, Fr & De
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This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.

Theoretical Chemical Engineering

Theoretical Chemical Engineering
Modeling and Simulation

by Christo Boyadjiev

  • Publisher : Springer Science & Business Media
  • Release : 2010-10-20
  • Pages : 594
  • ISBN : 9783642107788
  • Language : En, Es, Fr & De
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The role of theory in science was formulated very brilliantly by Max Planck: Experimenters are the striking force of science. The experiment is a question which science puts to nature. The measurement is the registration of nature’s answer. But before the question is put to nature,it must be formulated. Before the measurement result is used,itmust be explained, i.e., the answer must be understood correctly. These two problems are obligations of the theoreticians. Chemical engineering is an experimental science, but theory permits us to formulate correct experimental conditions and to understand correctly the exp- imental results. The theoretical methods of chemical engineering for modeling and simulation of industrial processes are surveyed in this book. Theoretical chemical engineering solves the problems that spring up from the necessity for a quantitative description of the processes in the chemical industry. They are quite different at the different stages of the quantitative description, i.e., a wide circle of theoretical methods are required for their solutions. Modeling and simulation are a united approach to obtain a quantitative description of the processes and systems in chemical engineering and chemical technology, which is necessary to clarify the process mechanism or for optimal process design, process control, and plant renovation. Modeling is the creation of the mathematical model, i.e., construction of the mathematical description (on the basis of the process mechanism), calculation of the model parameters (using experimental data), and statistical analysis of the model adequacy.

Concepts and Methodologies for Modeling and Simulation

Concepts and Methodologies for Modeling and Simulation
A Tribute to Tuncer Ören

by Levent Yilmaz

  • Publisher : Springer
  • Release : 2015-04-08
  • Pages : 352
  • ISBN : 3319150960
  • Language : En, Es, Fr & De
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This comprehensive text presents cutting-edge advances in the theory and methodology of modeling and simulation (M&S) and reveals how this work has been influenced by the fundamental contributions of Prof. Tuncer Ören to this field. Exploring the synergies among the domains of M&S and systems engineering (SE), the book describes how M&S and SE can help to address the complex problems identified as “Grand Challenges” more effectively under a model-driven and simulation-directed systems engineering framework. Features: examines frameworks for the development of advanced simulation methodologies; presents a focus on advanced modeling methodologies; reviews the reliability and quality assurance of models; discusses the specification and simulation of human and social behavior, including models of personality, emotions, conflict management, perception and anticipation; provides a survey of the body of knowledge in M&S; highlights the foundations established by the pioneering work of Prof. Tuncer Ören.

Modeling and Simulation-Based Systems Engineering Handbook

Modeling and Simulation-Based Systems Engineering Handbook
A Book

by Daniele Gianni,Andrea D'Ambrogio,Andreas Tolk

  • Publisher : CRC Press
  • Release : 2018-10-09
  • Pages : 513
  • ISBN : 1466571462
  • Language : En, Es, Fr & De
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The capability modeling and simulation (M&S) supplies for managing systems complexity and investigating systems behaviors has made it a central activity in the development of new and existing systems. However, a handbook that provides established M&S practices has not been available. Until now. Modeling and Simulation-Based Systems Engineering Handbook details the M&S practices for supporting systems engineering in diverse domains. It discusses how you can identify systems engineering needs and adapt these practices to suit specific application domains, thus avoiding redefining practices from scratch. Although M&S practices are used and embedded within individual disciplines, they are often developed in isolation. However, they address recurring problems common to all disciplines. The editors of this book tackled the challenge by recruiting key representatives from several communities, harmonizing the different perspectives derived from individual backgrounds, and lining them up with the book’s vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid. As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals.

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Research Challenges in Modeling and Simulation for Engineering Complex Systems
A Book

by Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal

  • Publisher : Springer
  • Release : 2017-08-18
  • Pages : 119
  • ISBN : 3319585444
  • Language : En, Es, Fr & De
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This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.

UML 2002 - The Unified Modeling Language. Model Engineering, Concepts, and Tools

UML 2002 - The Unified Modeling Language. Model Engineering, Concepts, and Tools
5th International Conference, Dresden, Germany, September 30 October 4, 2002. Proceedings

by Jean-Marc Jezequel,Heinrich Hussman,Stephen Cook

  • Publisher : Springer Science & Business Media
  • Release : 2002-09-18
  • Pages : 447
  • ISBN : 9783540442547
  • Language : En, Es, Fr & De
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This book constitutes the referred proceedings of the 5th International Conference on the Unified Modeling Langugage, UML 2002, held in Dresden, Germany in September/October 2002. The 25 revised full research papers and 5 revised experience papers presented were carefully reviewed and selected from 127 abstracts and 99 papers submitted. The papers are organized in topical sections on metamodeling, applying the UML, diggind into the metamodel, experience with MDA, real- time and formal semantics, model engineering, profiles, methodology,and diagram interchange and security.

Model Engineering in Mixed-Signal Circuit Design

Model Engineering in Mixed-Signal Circuit Design
A Guide to Generating Accurate Behavioral Models in VHDL-AMS

by Sorin Alexander Huss

  • Publisher : Springer Science & Business Media
  • Release : 2006-04-18
  • Pages : 162
  • ISBN : 0306481014
  • Language : En, Es, Fr & De
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For the first time, this up-to-date text combines the main issues of the hardware description language VHDL-AMS aimed at model representation of mixed-signal circuits and systems, characterization methods and tools for the extraction of model parameters, and modelling methodologies for accurate high-level behavioural models.

Model Engineering in Mixed-Signal Circuit Design

Model Engineering in Mixed-Signal Circuit Design
A Guide to Generating Accurate Behavioral Models in VHDL-AMS

by Sorin Alexander Huss

  • Publisher : Springer Science & Business Media
  • Release : 2006-04-18
  • Pages : 162
  • ISBN : 0306481014
  • Language : En, Es, Fr & De
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For the first time, this up-to-date text combines the main issues of the hardware description language VHDL-AMS aimed at model representation of mixed-signal circuits and systems, characterization methods and tools for the extraction of model parameters, and modelling methodologies for accurate high-level behavioural models.

Process Modelling and Model Analysis

Process Modelling and Model Analysis
A Book

by Ian T. Cameron,Katalin Hangos

  • Publisher : Elsevier
  • Release : 2001-05-23
  • Pages : 543
  • ISBN : 9780080514925
  • Language : En, Es, Fr & De
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Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling Illustrates the notions, tools, and techniques of process modeling with examples and advances applications

Concepts and Methodologies for Modeling and Simulation

Concepts and Methodologies for Modeling and Simulation
A Tribute to Tuncer Ören

by Levent Yilmaz

  • Publisher : Springer
  • Release : 2015-04-08
  • Pages : 352
  • ISBN : 3319150960
  • Language : En, Es, Fr & De
GET BOOK

This comprehensive text presents cutting-edge advances in the theory and methodology of modeling and simulation (M&S) and reveals how this work has been influenced by the fundamental contributions of Prof. Tuncer Ören to this field. Exploring the synergies among the domains of M&S and systems engineering (SE), the book describes how M&S and SE can help to address the complex problems identified as “Grand Challenges” more effectively under a model-driven and simulation-directed systems engineering framework. Features: examines frameworks for the development of advanced simulation methodologies; presents a focus on advanced modeling methodologies; reviews the reliability and quality assurance of models; discusses the specification and simulation of human and social behavior, including models of personality, emotions, conflict management, perception and anticipation; provides a survey of the body of knowledge in M&S; highlights the foundations established by the pioneering work of Prof. Tuncer Ören.

Modeling and Simulation-Based Systems Engineering Handbook

Modeling and Simulation-Based Systems Engineering Handbook
A Book

by Daniele Gianni,Andrea D'Ambrogio,Andreas Tolk

  • Publisher : CRC Press
  • Release : 2018-10-09
  • Pages : 513
  • ISBN : 1466571462
  • Language : En, Es, Fr & De
GET BOOK

The capability modeling and simulation (M&S) supplies for managing systems complexity and investigating systems behaviors has made it a central activity in the development of new and existing systems. However, a handbook that provides established M&S practices has not been available. Until now. Modeling and Simulation-Based Systems Engineering Handbook details the M&S practices for supporting systems engineering in diverse domains. It discusses how you can identify systems engineering needs and adapt these practices to suit specific application domains, thus avoiding redefining practices from scratch. Although M&S practices are used and embedded within individual disciplines, they are often developed in isolation. However, they address recurring problems common to all disciplines. The editors of this book tackled the challenge by recruiting key representatives from several communities, harmonizing the different perspectives derived from individual backgrounds, and lining them up with the book’s vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid. As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals.

Modeling and Simulation in the Systems Engineering Life Cycle

Modeling and Simulation in the Systems Engineering Life Cycle
Core Concepts and Accompanying Lectures

by Margaret L. Loper

  • Publisher : Springer
  • Release : 2015-04-30
  • Pages : 410
  • ISBN : 144715634X
  • Language : En, Es, Fr & De
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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.

Agent-Directed Simulation and Systems Engineering

Agent-Directed Simulation and Systems Engineering
A Book

by Levent Yilmaz,Tuncer Ören

  • Publisher : John Wiley & Sons
  • Release : 2009-10-26
  • Pages : 520
  • ISBN : 3527407812
  • Language : En, Es, Fr & De
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This book presents an accessible account of the contribution of systems engineering to modeling and simulation, especially to agent-directed simulation (ADS). With an emphasis on the application of ADS systems engineering to large and complex systems.