The Art Of Modeling Dynamic Systems

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The Art of Modeling Dynamic Systems

Author : Foster Morrison
Publisher : *Ronald Press
Page : 384 pages
File Size : 41,5 Mb
Release : 1991-01-16
Category : Science
ISBN : 0471520047

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The Art of Modeling Dynamic Systems by Foster Morrison Pdf

In the coverage of dynamics, there is a definite gap between ``picture-book'' popularizations and the technical literature. This work fills that gap. Shows engineers and scientists how, by the application of statistical methods, coordinate transformations and mathematical analysis, any complex, unpredictable dynamical system can be mapped--transformed into a simpler, predictable system. The various modeling tools available, their benefits and their limitations are described. Examples and analogies are used in place of theorems and proofs, making this an immediately practical book. By showing how to make models more meaningful and useful, it will be particularly helpful in clearing up the impasse between economics and system dynamics. Features a number of carefully selected references to more mathematical treatments, examples of some of the more specialized techniques and case histories of some models.

The Art of Modeling Dynamic Systems

Author : Foster Morrison
Publisher : Courier Corporation
Page : 418 pages
File Size : 43,7 Mb
Release : 2012-03-07
Category : Mathematics
ISBN : 9780486131719

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The Art of Modeling Dynamic Systems by Foster Morrison Pdf

This text illustrates the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping complex, unpredictable dynamical systems. It describes the benefits and limitations of the available modeling tools, showing engineers and scientists how any system can be rendered simpler and more predictable. Written by a well-known authority in the field, this volume employs practical examples and analogies to make models more meaningful. The more universal methods appear in considerable detail, and advanced dynamic principles feature easy-to-understand examples. The text draws careful distinctions between mathematical abstractions and observable realities. Additional topics include the role of pure mathematics, the limitations of numerical methods, forecasting in the presence of chaos and randomness, and dynamics without calculus. Specialized techniques and case histories are coordinated with a carefully selected and annotated bibliography. The original edition was a Library of Science Main Selection in May, 1991. This new Dover edition features corrections by the author and a new Preface.

Modeling and Simulation of Dynamic Systems

Author : Robert L. Woods,Kent L. Lawrence
Publisher : Pearson
Page : 552 pages
File Size : 43,8 Mb
Release : 1997
Category : Mathematics
ISBN : UOM:39015045643064

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Modeling and Simulation of Dynamic Systems by Robert L. Woods,Kent L. Lawrence Pdf

Introduction to modeling and simulation - Models for dynamic systems and systems similarity - Modeling of engineering systems - Mechanical systems - Electrical systems - Fluid systems - Thermal systems - Mixed discipline systems - System dynamic response analysis - Frequency response - Time response and digital simulation - Engineering applications - System design and selection of components.

Modeling Dynamic Systems

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 19??
Category : Electronic
ISBN : OCLC:637539996

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Modeling Dynamic Systems by Anonim Pdf

Modelling and Control of Dynamic Systems Using Gaussian Process Models

Author : Juš Kocijan
Publisher : Springer
Page : 267 pages
File Size : 55,5 Mb
Release : 2015-11-21
Category : Technology & Engineering
ISBN : 9783319210216

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Modelling and Control of Dynamic Systems Using Gaussian Process Models by Juš Kocijan Pdf

This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.

Modeling of Dynamic Systems

Author : Lennart Ljung,Torkel Glad
Publisher : Prentice Hall
Page : 0 pages
File Size : 47,9 Mb
Release : 1994
Category : Computer simulation
ISBN : 0135970970

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Modeling of Dynamic Systems by Lennart Ljung,Torkel Glad Pdf

Written by a recognized authority in the field of identification and control, this book draws together into a single volume the important aspects of system identification AND physical modelling. KEY TOPICS: Explores techniques used to construct mathematical models of systems based on knowledge from physics, chemistry, biology, etc. (e.g., techniques with so called bond-graphs, as well those which use computer algebra for the modeling work). Explains system identification techniques used to infer knowledge about the behavior of dynamic systems based on observations of the various input and output signals that are available for measurement. Shows how both types of techniques need to be applied in any given practical modeling situation. Considers applications, primarily simulation. MARKET: For practicing engineers who are faced with problems of modeling.

Fractional-order Modeling and Control of Dynamic Systems

Author : Aleksei Tepljakov
Publisher : Springer
Page : 184 pages
File Size : 54,5 Mb
Release : 2017-02-08
Category : Technology & Engineering
ISBN : 9783319529509

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Fractional-order Modeling and Control of Dynamic Systems by Aleksei Tepljakov Pdf

This book reports on an outstanding research devoted to modeling and control of dynamic systems using fractional-order calculus. It describes the development of model-based control design methods for systems described by fractional dynamic models. More than 300 years had passed since Newton and Leibniz developed a set of mathematical tools we now know as calculus. Ever since then the idea of non-integer derivatives and integrals, universally referred to as fractional calculus, has been of interest to many researchers. However, due to various issues, the usage of fractional-order models in real-life applications was limited. Advances in modern computer science made it possible to apply efficient numerical methods to the computation of fractional derivatives and integrals. This book describes novel methods developed by the author for fractional modeling and control, together with their successful application in real-world process control scenarios.

Dynamic Systems

Author : Craig A. Kluever
Publisher : Wiley Global Education
Page : 416 pages
File Size : 41,9 Mb
Release : 2019-12-24
Category : Technology & Engineering
ISBN : 9781119601982

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Dynamic Systems by Craig A. Kluever Pdf

The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB® and Simulink® software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems. Designed for introductory courses in dynamic systems and control, this textbook emphasizes practical applications through numerous case studies—derived from top-level engineering from the AMSE Journal of Dynamic Systems. Comprehensive yet concise chapters introduce fundamental concepts while demonstrating physical engineering applications. Aligning with current industry practice, the text covers essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical, and fluid subsystem components. Major topics include mathematical modeling, system-response analysis, and feedback control systems. A wide variety of end-of-chapter problems—including conceptual problems, MATLAB® problems, and Engineering Application problems—help students understand and perform numerical simulations for integrated systems.

Modeling and Simulation of Dynamic Systems

Author : Robert L. Woods,Kent L. Lawrence
Publisher : Unknown
Page : 521 pages
File Size : 47,6 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 0138611882

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Modeling and Simulation of Dynamic Systems by Robert L. Woods,Kent L. Lawrence Pdf

Reflecting the state-of-the-art and current trends in modeling and simulation, this text provides comprehensive coverage of 1) the modeling techniques of the major types of dynamic engineering systems, 2) the solution techniques for the resulting differential equations for linear and nonlinear systems, and 3) the attendant mathematical procedures related to the representation of dynamic systems and determination of their time and frequency response characteristics. It explains in detail how to select all of the system component parameter values for static and dynamic performance specifications and limits.* Treats all of the engineering technologies with equal depth and completeness. * Covers mechanical, electrical, fluid (hydraulics and pneumatics), and thermal systems - with an emphasis on the similarity of the response characteristics of systems in all technologies. * Begins with a broad overview of the concepts of dynamic systems and systems approach to the analysis and design of engineering systems. * Organizes modeling content along technology lines and mathematical fundamentals rather than procedures that are in common. * Each modeling chapter begins with a discussion of the

System Dynamics

Author : Dean C. Karnopp,Donald L. Margolis,Ronald C. Rosenberg
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 47,5 Mb
Release : 2012-03-07
Category : Science
ISBN : 9781118160077

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System Dynamics by Dean C. Karnopp,Donald L. Margolis,Ronald C. Rosenberg Pdf

An expanded new edition of the bestselling system dynamics book using the bond graph approach A major revision of the go-to resource for engineers facing the increasingly complex job of dynamic systems design, System Dynamics, Fifth Edition adds a completely new section on the control of mechatronic systems, while revising and clarifying material on modeling and computer simulation for a wide variety of physical systems. This new edition continues to offer comprehensive, up-to-date coverage of bond graphs, using these important design tools to help readers better understand the various components of dynamic systems. Covering all topics from the ground up, the book provides step-by-step guidance on how to leverage the power of bond graphs to model the flow of information and energy in all types of engineering systems. It begins with simple bond graph models of mechanical, electrical, and hydraulic systems, then goes on to explain in detail how to model more complex systems using computer simulations. Readers will find: New material and practical advice on the design of control systems using mathematical models New chapters on methods that go beyond predicting system behavior, including automatic control, observers, parameter studies for system design, and concept testing Coverage of electromechanical transducers and mechanical systems in plane motion Formulas for computing hydraulic compliances and modeling acoustic systems A discussion of state-of-the-art simulation tools such as MATLAB and bond graph software Complete with numerous figures and examples, System Dynamics, Fifth Edition is a must-have resource for anyone designing systems and components in the automotive, aerospace, and defense industries. It is also an excellent hands-on guide on the latest bond graph methods for readers unfamiliar with physical system modeling.

Understanding Dynamic Systems

Author : C. Nelson Dorny
Publisher : Unknown
Page : 682 pages
File Size : 50,5 Mb
Release : 1993
Category : Technology & Engineering
ISBN : UOM:39015029450452

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Understanding Dynamic Systems by C. Nelson Dorny Pdf

A textbook that embraces the whole of engineering in a unified context, promoting system thinking by breaking down unnecessary barriers between disciplines. The six chapters address design insights, lumped-network models of systems, lumped-network behavior, equivalence and superposition in linear networks, frequency-response models, and coupling devices. The author uses the text for a two- semester first course in engineering; it has also been used as an integrative course for seniors, primarily in mechanical engineering. Annotation copyright by Book News, Inc., Portland, OR

Modeling and Simulation in Science and Mathematics Education

Author : Wallace Feurzeig,Nancy Roberts
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461214144

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Modeling and Simulation in Science and Mathematics Education by Wallace Feurzeig,Nancy Roberts Pdf

This book/software package brings the tools and excitement of modeling to pre-college teachers, to researchers involved in curriculum development, and to software developers interested in the pre-college market.

Dynamic Systems

Author : Craig Allan Kluever
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2020
Category : Electronic
ISBN : 1119601894

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Dynamic Systems by Craig Allan Kluever Pdf

Dynamic Systems

Author : Craig A. Kluever
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 43,7 Mb
Release : 2020-06-23
Category : Technology & Engineering
ISBN : 9781119723479

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Dynamic Systems by Craig A. Kluever Pdf

The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB® and Simulink® software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems. Designed for introductory courses in dynamic systems and control, this textbook emphasizes practical applications through numerous case studies—derived from top-level engineering from the AMSE Journal of Dynamic Systems. Comprehensive yet concise chapters introduce fundamental concepts while demonstrating physical engineering applications. Aligning with current industry practice, the text covers essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical, and fluid subsystem components. Major topics include mathematical modeling, system-response analysis, and feedback control systems. A wide variety of end-of-chapter problems—including conceptual problems, MATLAB® problems, and Engineering Application problems—help students understand and perform numerical simulations for integrated systems.

Modeling Dynamic Biological Systems

Author : Bruce Hannon,Matthias Ruth
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461206514

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Modeling Dynamic Biological Systems by Bruce Hannon,Matthias Ruth Pdf

Models help us understand the dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior. This book does not require a substantial background in mathematics or computer science.