Introduction to Physical System Modelling
| Author | : P. E. Wellstead |
| Publisher | : |
| Total Pages | : 300 |
| Release | : 1979 |
| Genre | : Engineering |
| ISBN | : |
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Introduction To Physical System Modelling PDF Download
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Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica
| Author | : Peter Fritzson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 227 |
| Release | : 2011-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1118094247 |
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Master modeling and simulation using Modelica, the new powerful, highly versatile object-based modeling language Modelica, the new object-based software/hardware modeling language that is quickly gaining popularity around the world, offers an almost universal approach to high-level computational modeling and simulation. It handles a broad range of application domains, for example mechanics, electrical systems, control, and thermodynamics, and facilitates general notation as well as powerful abstractions and efficient implementations. Using the versatile Modelica language and its associated technology, this text presents an object-oriented, component-based approach that makes it possible for readers to quickly master the basics of computer-supported equation-based object-oriented (EOO) mathematical modeling and simulation. Throughout the text, Modelica is used to illustrate the various aspects of modeling and simulation. At the same time, a number of key concepts underlying the Modelica language are explained with the use of modeling and simulation examples. This book: Examines basic concepts such as systems, models, and simulations Guides readers through the Modelica language with the aid of several step-by-step examples Introduces the Modelica class concept and its use in graphical and textual modeling Explores modeling methodology for continuous, discrete, and hybrid systems Presents an overview of the Modelica Standard Library and key Modelica model libraries Readers will find plenty of examples of models that simulate distinct application domains as well as examples that combine several domains. All the examples and exercises in the text are available via DrModelica. This electronic self-teaching program, freely available on the text's companion website, guides readers from simple, introductory examples and exercises to more advanced ones. Written by the Director of the Open Source Modelica Consortium, Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica is recommended for engineers and students interested in computer-aided design, modeling, simulation, and analysis of technical and natural systems. By building on basic concepts, the text is ideal for students who want to learn modeling, simulation, and object orientation.
Introduction to Physical Modeling with Modelica
| Author | : Michael Tiller |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 348 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1461515610 |
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3. 8 Problems . . . 66 4 ENABLING REUSE 69 4. 1 Concepts . . . . . . . . 69 4. 2 Exploiting commonality 70 4. 3 Reusable building blocks 71 4. 4 Allowing replaceable components 75 4. 5 Other replaceable entities 79 4. 6 Limiting flexibility . . . 82 4. 7 Other considerations . . 84 4. 8 Language fundamentals 85 4. 9 Problems . . . . . . . . 88 5 FUNCTIONS 91 5. 1 Concepts . . . . . . . . 91 5. 2 Introduction to functions 92 5. 3 An interpolation function 94 5. 4 Multiple return values 96 97 5. 5 Passing records as arguments 5. 6 Using extemal subroutines 100 5. 7 Language fundamentals 102 5. 8 Problems . . . . . . . . 110 6 USING ARRAYS 113 6. 1 Concepts . . . . . . . . . . . . . . . . . . 113 6. 2 Planetary motion: Arrays of components . . 113 6. 3 Simple ID heat transfer: Arrays of variables 120 6. 4 Using arrays with chemical systems 132 6. 5 Language fundamentals 143 6. 6 Problems . . . . . . . . . . . . . . 152 7 HYBRID MODELS 155 7. 1 Concepts . . . . . . . . 155 7. 2 Modeling digital circuits 155 7. 3 Bouncing ball . . . . . . 162 7. 4 Sensor modeling . . . . 166 7. 5 Language fundamentals 178 7. 6 Problems . . . . . . . . 186 8 EXPLORING NONLINEAR BEHAVIOR 189 8. 1 Concepts . . . 189 8. 2 An ideal diode 189 8. 3 Backlash . . . 193 8. 4 Thermal properties 199 Contents vii 8. 5 Hodgkin-Huxley nerve cell models 203 8. 6 Language fundamentals 206 8. 7 Problems . . . . . . . . . . . . . . 210 9 MISCELLANEOUS 213 9. 1 Lookup rules 213 9. 2 Annotations . . 225 Part II Effective Modelica 10 MULTI-DOMAIN MODELING 231 10. 1 Concepts . . . . . . . . . 231 231 10. 2 Conveyor system . . . . .
Mathematical Modeling of Physical Systems
| Author | : Diran Basmadjian |
| Publisher | : Oxford University Press on Demand |
| Total Pages | : 350 |
| Release | : 2003 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780195153149 |
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Both analytical and numerical methods are explained in enough detail to function as learning tools for the beginner or as refreshers for the more informed reader. Ideal for third-year engineering, mathematics, physics, and chemistry students."--BOOK JACKET.
Cyber-Physical Systems: A Model-Based Approach
| Author | : Walid M. Taha |
| Publisher | : Springer Nature |
| Total Pages | : 205 |
| Release | : 2020-09-01 |
| Genre | : Computers |
| ISBN | : 3030360717 |
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In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products. Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics. Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.
Modeling of Physical Systems
| Author | : Joseph J. Beaman, Jr. |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2023-09-05 |
| Genre | : Science |
| ISBN | : 9781119945048 |
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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
Introduction to Physical System Dynamics
| Author | : Ronald C. Rosenberg |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 452 |
| Release | : 1983 |
| Genre | : Science |
| ISBN | : |
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An Introduction to Mathematical Modeling
| Author | : Edward A. Bender |
| Publisher | : Courier Corporation |
| Total Pages | : 273 |
| Release | : 2012-05-23 |
| Genre | : Mathematics |
| ISBN | : 0486137120 |
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Employing a practical, "learn by doing" approach, this first-rate text fosters the development of the skills beyond the pure mathematics needed to set up and manipulate mathematical models. The author draws on a diversity of fields — including science, engineering, and operations research — to provide over 100 reality-based examples. Students learn from the examples by applying mathematical methods to formulate, analyze, and criticize models. Extensive documentation, consisting of over 150 references, supplements the models, encouraging further research on models of particular interest. The lively and accessible text requires only minimal scientific background. Designed for senior college or beginning graduate-level students, it assumes only elementary calculus and basic probability theory for the first part, and ordinary differential equations and continuous probability for the second section. All problems require students to study and create models, encouraging their active participation rather than a mechanical approach. Beyond the classroom, this volume will prove interesting and rewarding to anyone concerned with the development of mathematical models or the application of modeling to problem solving in a wide array of applications.
Principles of Cyber-Physical Systems
| Author | : Rajeev Alur |
| Publisher | : MIT Press |
| Total Pages | : 459 |
| Release | : 2015-04-24 |
| Genre | : Computers |
| ISBN | : 0262328461 |
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A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems. A cyber-physical system consists of a collection of computing devices communicating with one another and interacting with the physical world via sensors and actuators in a feedback loop. Increasingly, such systems are everywhere, from smart buildings to medical devices to automobiles. This textbook offers a rigorous and comprehensive introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems. The book draws on a diverse set of subdisciplines, including model-based design, concurrency theory, distributed algorithms, formal methods of specification and verification, control theory, real-time systems, and hybrid systems, explaining the core ideas from each that are relevant to system design and analysis. The book explains how formal models provide mathematical abstractions to manage the complexity of a system design. It covers both synchronous and asynchronous models for concurrent computation, continuous-time models for dynamical systems, and hybrid systems for integrating discrete and continuous evolution. The role of correctness requirements in the design of reliable systems is illustrated with a range of specification formalisms and the associated techniques for formal verification. The topics include safety and liveness requirements, temporal logic, model checking, deductive verification, stability analysis of linear systems, and real-time scheduling algorithms. Principles of modeling, specification, and analysis are illustrated by constructing solutions to representative design problems from distributed algorithms, network protocols, control design, and robotics. This book provides the rapidly expanding field of cyber-physical systems with a long-needed foundational text by an established authority. It is suitable for classroom use or as a reference for professionals.
Modeling and Simulation in Python
| Author | : Allen B. Downey |
| Publisher | : No Starch Press |
| Total Pages | : 277 |
| Release | : 2023-05-30 |
| Genre | : Computers |
| ISBN | : 1718502176 |
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Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math. Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.
