Download or read book Fundamentals of Modeling and Analyzing Engineering Systems written by Philip D. Cha and published by Cambridge University Press. This book was released on 2000-04-13 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Broad-based introduction to engineering systems, presenting a unified treatment of disparate physical systems.

Download or read book Fundamentals Of Modeling And Analyzing Engineeringsystems written by Dym and published by . This book was released on 2005-08-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: System modeling and analysis is a standard activity in every engineering discipline. This text offers a broad-based introduction to engineering systems, incorporating material from mechanical, electrical, aerospace, and chemical engineering. The overall theme that distinguishes the text from others is its unified treatment of disparate physical systems, emphasizing similarities in both the modeling and behaviour of lumped-element systems. Linear graph theory provides the framework for modeling engineering systems as lumped elements. The analysis of system dynamics that follows is organized by behavioral characteristics rather than by engineering subdisciplines. Next, the Laplace transform is introduced as a tool for understanding frequency response. The final chapter covers feedback systems. Every chapter includes a wide variety of examples, as well as exercise problems, drawn from real-world mechanical, electrical, hydraulic, chemical, and thermal systems. Aimed at second and third year undergraduates, this introductory text offers a unified entry to the multidisciplinary world of engineering.

Download or read book Modeling Engineering Systems written by Jack W. Lewis and published by Butterworth-Heinemann. This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling Engineering Systems goes right to the heart of engineering, teaching you how to: understand and use the three basic types of engineering building blocks recognize the analogies that can be drawn between the fundamental elements of electrical, mechanical, fluid, and thermal systems develop math models for first- and higher-order systems using four fundamental methods analyze the models you develop perform frequency analysis and plot frequency responses Educated at the U.S. Coast Guard Academy and MIT, Jack W. Lewis is a registered professional engineer, his specialty is the design of automatic control and instrumental systems, especially as related to the marine industry. He is the author of numerous technical papers and articles, including national award-winning papers for the American Society of Naval Engineers (ASNE) and the Society of Naval Architects and Marine Engineers (SNAME). Lewis is a member of SNAME, ASNE, and the American Society of Mechanical Engineers (ASME). -understand and use the three basic types of engineering building blocks -recognize the analogies that can be drawn between the fundamental elements of electrical, mechanical, fluid, and thermal systems -develop math models for first- and higher-order systems using four fundamental methods

Download or read book Process Modelling and Model Analysis written by Ian T. Cameron and published by Elsevier. This book was released on 2001-05-23 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book System of Systems Modeling and Analysis written by Daniel A. DeLaurentis and published by CRC Press. This book was released on 2022-12-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: System of Systems Modeling and Analysis provides the reader with motivation, theory, methodology, and examples of modeling and analysis for system of system (SoS) problems. In addition to theory, this book contains history and conceptual definitions, as well as the theoretical fundamentals of SoS modeling and analysis. It then describes methods for SoS modeling and analysis, including use of existing methodology and original work, specifically oriented to SoS. Providing a bridge between theory and practice for modeling and analysis of SoS, this book includes generalized concepts and Methods, Tools, and Processes (MTP) applicable to SoS across any application domain. Examples of application from various fields will be used to provide a practical demonstration of the use of the methodologies. Features Offers a modern presentation of SoS principles and guided description of applying a modeling and analysis process to SoS engineering Provides additional modeling approaches useful for SoS engineering, including agent-based modeling Covers the current gap in literature between theory and modeling/application Features examples of applications from various fields, such as energy grids and regional transportation Includes questions, examples, and exercises at the end of each chapter This book is intended for senior undergraduate students in engineering programs studying SoS modeling, SoS analysis, and SoS engineering courses. Professional engineers will also benefit from MTP and examples as a baseline for specific user applications.

Download or read book Systems Modeling and Computer Simulation Second Edition written by Naim Kheir and published by CRC Press. This book was released on 1995-09-20 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems; and a chapter on the computer animation and visualization of dynamical systems motion.;College or university bookstores may order five or more copies at a special student price, available on request from Marcel Dekker Inc.

Download or read book Scale Models in Engineering written by Richard I. Emori and published by Elsevier. This book was released on 2016-06-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scale Models in Engineering: Fundamentals and Applications provides a simple and fundamental method of designing scale model experiments. This book is divided into two parts. Part I explores the background of scale modeling and explains the design procedure of scale models and experiments. The relaxation method commonly applied to conflicting requirements in model design is also analyzed. Part II is devoted to case studies selected from modern fields of model application. These studies have been interpreted uniformly. This publication is designed not only as a college textbook for senior and graduate levels but also as a working reference for practicing engineers.

Download or read book Bond Graph Modelling of Engineering Systems written by Wolfgang Borutzky and published by Springer Science & Business Media. This book was released on 2011-06-01 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author presents current work in bond graph methodology by providing a compilation of contributions from experts across the world that covers theoretical topics, applications in various areas as well as software for bond graph modeling. It addresses readers in academia and in industry concerned with the analysis of multidisciplinary engineering systems or control system design who are interested to see how latest developments in bond graph methodology with regard to theory and applications can serve their needs in their engineering fields. This presentation of advanced work in bond graph modeling presents the leading edge of research in this field. It is hoped that it stimulates new ideas with regard to further progress in theory and in applications.

Download or read book Modeling and Simulation Fundamentals written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.

Download or read book Principles of Mathematical Modeling written by Clive Dym and published by Elsevier. This book was released on 2004-08-10 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition, is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers. The first half of the book begins with a clearly defined set of modeling principles, and then introduces a set of foundational tools including dimensional analysis, scaling techniques, and approximation and validation techniques. The second half demonstrates the latest applications for these tools to a broad variety of subjects, including exponential growth and decay in fields ranging from biology to economics, traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making. Prospective students should have already completed courses in elementary algebra, trigonometry, and first-year calculus and have some familiarity with differential equations and basic physics. Serves as an introductory text on the development and application of mathematical models Focuses on techniques of particular interest to engineers, scientists, and others who model continuous systems Offers more than 360 problems, providing ample opportunities for practice Covers a wide range of interdisciplinary topics--from engineering to economics to the sciences Uses straightforward language and explanations that make modeling easy to understand and apply New to this Edition: A more systematic approach to mathematical modeling, outlining ten specific principles Expanded and reorganized chapters that flow in an increasing level of complexity Several new problems and updated applications Expanded figure captions that provide more information Improved accessibility and flexibility for teaching

Download or read book Dynamic Systems Modeling and Analysis written by Ramin Esfandiari and published by McGraw-Hill Science/Engineering/Math. This book was released on 2003-08-27 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using an easy-to-follow, intuitive approach, Dynamic Systems: Modeling and Analysis emphasizes the latest modeling and analysis techniques. Its emphasis on the fundamentals, many thoroughly worked examples, and frequent use of free body and effective force diagrams, better prepares students for subsequent courses. The essential mathematical background is covered in detail, and a variety of applications from mechanical to electrical engineering makes this an ideal text for a variety of engineering disciplines.

Download or read book Fundamentals of Secure System Modelling written by Raimundas Matulevičius and published by Springer. This book was released on 2017-08-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a coherent overview of the most important modelling-related security techniques available today, and demonstrates how to combine them. Further, it describes an integrated set of systematic practices that can be used to achieve increased security for software from the outset, and combines practical ways of working with practical ways of distilling, managing, and making security knowledge operational. The book addresses three main topics: (1) security requirements engineering, including security risk management, major activities, asset identification, security risk analysis and defining security requirements; (2) secure software system modelling, including modelling of context and protected assets, security risks, and decisions regarding security risk treatment using various modelling languages; and (3) secure system development, including effective approaches, pattern-driven development, and model-driven security. The primary target audience of this book is graduate students studying cyber security, software engineering and system security engineering. The book will also benefit practitioners interested in learning about the need to consider the decisions behind secure software systems. Overall it offers the ideal basis for educating future generations of security experts.

Download or read book System Engineering Analysis Design and Development written by Charles S. Wasson and published by John Wiley & Sons. This book was released on 2015-11-16 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: “This excellent text will be useful to everysystem engineer (SE) regardless of the domain. It covers ALLrelevant SE material and does so in a very clear, methodicalfashion. The breadth and depth of the author's presentation ofSE principles and practices is outstanding.” –Philip Allen This textbook presents a comprehensive, step-by-step guide toSystem Engineering analysis, design, and development via anintegrated set of concepts, principles, practices, andmethodologies. The methods presented in this text apply to any typeof human system -- small, medium, and large organizational systemsand system development projects delivering engineered systems orservices across multiple business sectors such as medical,transportation, financial, educational, governmental, aerospace anddefense, utilities, political, and charity, among others. Provides a common focal point for “bridgingthe gap” between and unifying System Users, System Acquirers,multi-discipline System Engineering, and Project, Functional, andExecutive Management education, knowledge, and decision-making fordeveloping systems, products, or services Each chapter provides definitions of key terms,guiding principles, examples, author’s notes, real-worldexamples, and exercises, which highlight and reinforce key SE&Dconcepts and practices Addresses concepts employed in Model-BasedSystems Engineering (MBSE), Model-Driven Design (MDD), UnifiedModeling Language (UMLTM) / Systems Modeling Language(SysMLTM), and Agile/Spiral/V-Model Development such asuser needs, stories, and use cases analysis; specificationdevelopment; system architecture development; User-Centric SystemDesign (UCSD); interface definition & control; systemintegration & test; and Verification & Validation(V&V) Highlights/introduces a new 21st Century SystemsEngineering & Development (SE&D) paradigm that is easy tounderstand and implement. Provides practices that are critical stagingpoints for technical decision making such as Technical StrategyDevelopment; Life Cycle requirements; Phases, Modes, & States;SE Process; Requirements Derivation; System ArchitectureDevelopment, User-Centric System Design (UCSD); EngineeringStandards, Coordinate Systems, and Conventions; et al. Thoroughly illustrated, with end-of-chapter exercises andnumerous case studies and examples, Systems EngineeringAnalysis, Design, and Development, Second Edition is a primarytextbook for multi-discipline, engineering, system analysis, andproject management undergraduate/graduate level students and avaluable reference for professionals.

Download or read book Foundations of Multi Paradigm Modelling for Cyber Physical Systems written by Paulo Carreira and published by . This book was released on 2020-10-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems-known as cyber-physical systems-that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Download or read book Modeling and Analysis of Dynamic Systems written by Charles M. Close and published by John Wiley & Sons. This book was released on 2001-08-20 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of Modeling and Anaysis of Dynamic Systems continues to present students with the methodology applicable to the modeling and analysis of a variety of dynamic systems, regardless of their physical origin. It includes detailed modeling of mechanical, electrical, electro-mechanical, thermal, and fluid systems. Models are developed in the form of state-variable equations, input-output differential equations, transfer functions, and block diagrams. The Laplace transform is used for analytical solutions. Computer solutions are based on MATLAB and Simulink. Examples include both linear and nonlinear systems. An introduction is given to the modeling and design tools for feedback control systems. The text offers considerable flexibility in the selection of material for a specific course. Students majoring in many different engineering disciplines have used the text. Such courses are frequently followed by control-system design courses in the various disciplines.

Download or read book Modeling of Physical Systems written by Joseph J. Beaman, Jr. and published by Wiley. This book was released on 2023-09-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to nonlinear and continuous systems using bond graph methodology, this textbook gives readers the foundations they need to apply physical system models in practice Giving an integrated and uniform approach to system modeling, analysis and control, this book uses realistic examples to link empirical, analytical and numerical approaches. This introduction gives readers the essential foundations towards more advanced and practical topics in systems engineering. Rather than using only a linear modeling methodology, this book also uses nonlinear modeling approaches. This is a very useful aspect of the book, since engineers are often faced with modeling nonlinear physical systems. The authors approach the topic using bond graph methodology, a well known and powerful approach for the modeling and analysis of multi-energy domain systems at the physical level. With a strong focus on the fundamentals, the authors ensure that the various modeling approaches available are outlined, always with implementation in mind. Beginning by covering core topics which engineering students will have been exposed to in their first two years of study, the next sections introduce systematic modeling development using a bond graph approach followed by analysis. The later chapters expand on the reader’s foundational understanding of systems, helping to begin dealing with more complex phenomena. This includes making decisions about what to model and how much complexity is needed for a particular problem. Includes tables summarizing fundamental modeling elements and principles, sets of problems and case studies of real-world applications Emphasizes simulation throughout the book as a means to enable reader understanding Topics introduced include: mechanical, electrical, thermal, fluid, magnetic and chemical systems Gives insight into controls problems by building a better understanding of the physical system and developing tools and methods that enable users to modify models

Download or read book Uncertainty Modeling and Analysis in Engineering and the Sciences written by Bilal M. Ayyub and published by CRC Press. This book was released on 2006-05-25 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a