Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems
  • Author : Charles M. Close,Dean K. Frederick,Jonathan C. Newell
  • Publisher : John Wiley & Sons
  • Pages : 592
  • Relase : 2001-08-20
  • ISBN : 9780471394426

Modeling and Analysis of Dynamic Systems Book Review:

The book presents 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.

Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems
  • Author : Ramin S. Esfandiari,Bei Lu
  • Publisher : CRC Press
  • Pages : 555
  • Relase : 2018-01-29
  • ISBN : 9781351751643

Modeling and Analysis of Dynamic Systems Book Review:

Modeling and Analysis of Dynamic Systems, Third Edition introduces MATLAB®, Simulink®, and SimscapeTM and then utilizes them to perform symbolic, graphical, numerical, and simulation tasks. Written for senior level courses/modules, the textbook meticulously covers techniques for modeling a variety of engineering systems, methods of response analysis, and introductions to mechanical vibration, and to basic control systems. These features combine to provide students with a thorough knowledge of the mathematical modeling and analysis of dynamic systems. The Third Edition now includes Case Studies, expanded coverage of system identification, and updates to the computational tools included.

Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems
  • Author : Charles M. Close,Dean K. Frederick
  • Publisher : Houghton Mifflin School
  • Pages : 681
  • Relase : 1993
  • ISBN : STANFORD:36105009781894

Modeling and Analysis of Dynamic Systems Book Review:

This text is intended for a first course in dynamic systems and is designed for use by sophomore and junior majors in all fields of engineering, but principally mechanical and electrical engineers. All engineers must understand how dynamic systems work and what responses can be expected from various physical systems.

Modeling, Analysis, and Control of Dynamic Systems

Modeling, Analysis, and Control of Dynamic Systems
  • Author : William John Palm
  • Publisher : John Wiley & Sons Incorporated
  • Pages : 774
  • Relase : 1983-01-28
  • ISBN : UOM:39015011175331

Modeling, Analysis, and Control of Dynamic Systems Book Review:

An integrated presentation of both classical and modern methods of systems modeling, response and control. Includes coverage of digital control systems. Details sample data systems and digital control. Provides numerical methods for the solution of differential equations. Gives in-depth information on the modeling of physical systems and central hardware.

Dynamic Systems: Modeling and Analysis

Dynamic Systems: Modeling and Analysis
  • Author : Ramin Esfandiari,Hung Vu
  • Publisher : McGraw-Hill Science/Engineering/Math
  • Pages : 640
  • Relase : 2003-08-27
  • ISBN : 0072966610

Dynamic Systems: Modeling and Analysis Book Review:

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.

Dynamic System Reliability

Dynamic System Reliability
  • Author : Liudong Xing,Gregory Levitin,Chaonan Wang
  • Publisher : John Wiley & Sons
  • Pages : 256
  • Relase : 2019-01-08
  • ISBN : 9781119507611

Dynamic System Reliability Book Review:

Offers timely and comprehensive coverage of dynamic system reliability theory This book focuses on hot issues of dynamic system reliability, systematically introducing the reliability modeling and analysis methods for systems with imperfect fault coverage, systems with function dependence, systems subject to deterministic or probabilistic common-cause failures, systems subject to deterministic or probabilistic competing failures, and dynamic standby sparing systems. It presents recent developments of such extensions involving reliability modelling theory, reliability evaluation methods, and features numerous case studies based on real-world examples. The presented dynamic reliability theory can enable a more accurate representation of actual complex system behavior, thus more effectively guiding the reliable design of real-world critical systems. Dynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors begins by describing the evolution from the traditional static reliability theory to the dynamic system reliability theory, and provides a detailed investigation of dynamic and dependent behaviors in subsequent chapters. Although written for those with a background in basic probability theory and stochastic processes, the book includes a chapter reviewing the fundamentals that readers need to know in order to understand contents of other chapters which cover advanced topics in reliability theory and case studies. The first book systematically focusing on dynamic system reliability modelling and analysis theory Provides a comprehensive treatment on imperfect fault coverage (single-level/multi-level or modular), function dependence, common cause failures (deterministic and probabilistic), competing failures (deterministic and probabilistic), and dynamic standby sparing Includes abundant illustrative examples and case studies based on real-world systems Covers recent advances in combinatorial models and algorithms for dynamic system reliability analysis Offers a rich set of references, providing helpful resources for readers to pursue further research and study of the topics Dynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors is an excellent book for undergraduate and graduate students, and engineers and researchers in reliability and related disciplines.

Modeling and Analysis of Dynamic Systems, Second Edition

Modeling and Analysis of Dynamic Systems, Second Edition
  • Author : Ramin S. Esfandiari,Bei Lu
  • Publisher : CRC Press
  • Pages : 570
  • Relase : 2014-04-24
  • ISBN : 9781466574939

Modeling and Analysis of Dynamic Systems, Second Edition Book Review:

Modeling and Analysis of Dynamic Systems, Second Edition introduces MATLAB®, Simulink®, and SimscapeTM and then uses them throughout the text to perform symbolic, graphical, numerical, and simulation tasks. Written for junior or senior level courses, the textbook meticulously covers techniques for modeling dynamic systems, methods of response analysis, and provides an introduction to vibration and control systems. These features combine to provide students with a thorough knowledge of the mathematical modeling and analysis of dynamic systems. See What’s New in the Second Edition: Coverage of modeling and analysis of dynamic systems ranging from mechanical to thermal using Simscape Utilization of Simulink for linearization as well as simulation of nonlinear dynamic systems Integration of Simscape into Simulink for control system analysis and design Each topic covered includes at least one example, giving students better comprehension of the subject matter. More complex topics are accompanied by multiple, painstakingly worked-out examples. Each section of each chapter is followed by several exercises so that students can immediately apply the ideas just learned. End-of-chapter review exercises help in learning how a combination of different ideas can be used to analyze a problem. This second edition of a bestselling textbook fully integrates the MATLAB Simscape Toolbox and covers the usage of Simulink for new purposes. It gives students better insight into the involvement of actual physical components rather than their mathematical representations.

Dynamic Systems

Dynamic Systems
  • Author : Craig A. Kluever
  • Publisher : Wiley Global Education
  • Pages : 416
  • Relase : 2019-12-24
  • ISBN : 9781119601982

Dynamic Systems Book Review:

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.

Dynamic Modeling and Control of Engineering Systems

Dynamic Modeling and Control of Engineering Systems
  • Author : Bohdan T. Kulakowski,John F. Gardner,J. Lowen Shearer
  • Publisher : Cambridge University Press
  • Pages :
  • Relase : 2007-07-02
  • ISBN : 9781139464239

Dynamic Modeling and Control of Engineering Systems Book Review:

This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.

System Dynamics Modeling with R

System Dynamics Modeling with R
  • Author : Jim Duggan
  • Publisher : Springer
  • Pages : 176
  • Relase : 2016-06-14
  • ISBN : 9783319340432

System Dynamics Modeling with R Book Review:

This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.

Handbook of Dynamic System Modeling

Handbook of Dynamic System Modeling
  • Author : Paul A. Fishwick
  • Publisher : CRC Press
  • Pages : 760
  • Relase : 2007-06-01
  • ISBN : 1420010859

Handbook of Dynamic System Modeling Book Review:

The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic System Modeling explores a panoply of different types of modeling methods available for dynamical systems. Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models. A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.

Dynamical Modeling and Analysis of Epidemics

Dynamical Modeling and Analysis of Epidemics
  • Author : Anonim
  • Publisher :
  • Pages :
  • Relase :
  • ISBN : 9789814471428

Dynamical Modeling and Analysis of Epidemics Book Review:

Power System Dynamics with Computer-Based Modeling and Analysis

Power System Dynamics with Computer-Based Modeling and Analysis
  • Author : Yoshihide Hase,Tanuj Khandelwal,Kazuyuki Kameda
  • Publisher : John Wiley & Sons
  • Pages : 1138
  • Relase : 2020-01-21
  • ISBN : 9781119487456

Power System Dynamics with Computer-Based Modeling and Analysis Book Review:

A unique combination of theoretical knowledge and practical analysis experience Derived from Yoshihide Hases Handbook of Power Systems Engineering, 2nd Edition, this book provides readers with everything they need to know about power system dynamics. Presented in three parts, it covers power system theories, computation theories, and how prevailed engineering platforms can be utilized for various engineering works. It features many illustrations based on ETAP to help explain the knowledge within as much as possible. Recompiling all the chapters from the previous book, Power System Dynamics with Computer Based Modeling and Analysis offers nineteen new and improved content with updated information and all new topics, including two new chapters on circuit analysis which help engineers with non-electrical engineering backgrounds. Topics covered include: Essentials of Electromagnetism; Complex Number Notation (Symbolic Method) and Laplace-transform; Fault Analysis Based on Symmetrical Components; Synchronous Generators; Induction-motor; Transformer; Breaker; Arrester; Overhead-line; Power cable; Steady-State/Transient/Dynamic Stability; Control governor; AVR; Directional Distance Relay and R-X Diagram; Lightning and Switching Surge Phenomena; Insulation Coordination; Harmonics; Power Electronics Applications (Devices, PE-circuit and Control) and more. Combines computer modeling of power systems, including analysis techniques, from an engineering consultants perspective Uses practical analytical software to help teach how to obtain the relevant data, formulate what-if cases, and convert data analysis into meaningful information Includes mathematical details of power system analysis and power system dynamics Power System Dynamics with Computer-Based Modeling and Analysis will appeal to all power system engineers as well as engineering and electrical engineering students.

Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts

Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts
  • Author : Olejnik Pawel,Feckan Michal,Awrejcewicz Jan
  • Publisher : #N/A
  • Pages : 276
  • Relase : 2017-07-07
  • ISBN : 9789813225305

Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts Book Review:

This book is aimed primarily towards physicists and mechanical engineers specializing in modeling, analysis, and control of discontinuous systems with friction and impacts. It fills a gap in the existing literature by offering an original contribution to the field of discontinuous mechanical systems based on mathematical and numerical modeling as well as the control of such systems. Each chapter provides the reader with both the theoretical background and results of verified and useful computations, including solutions of the problems of modeling and application of friction laws in numerical computations, results from finding and analyzing impact solutions, the analysis and control of dynamical systems with discontinuities, etc. The contents offer a smooth correspondence between science and engineering and will allow the reader to discover new ideas. Also emphasized is the unity of diverse branches of physics and mathematics towards understanding complex piecewise-smooth dynamical systems. Mathematical models presented will be important in numerical experiments, experimental measurements, and optimization problems found in applied mechanics.

Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Handbook of Research on Modeling, Analysis, and Control of Complex Systems
  • Author : Azar, Ahmad Taher,Kamal, Nashwa Ahmad
  • Publisher : IGI Global
  • Pages : 685
  • Relase : 2020-12-05
  • ISBN : 9781799857907

Handbook of Research on Modeling, Analysis, and Control of Complex Systems Book Review:

The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.

Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems
  • Author : Ramin S. Esfandiari,Bei Lu
  • Publisher : CRC Press
  • Pages : 454
  • Relase : 2010-03-16
  • ISBN : 1439808457

Modeling and Analysis of Dynamic Systems Book Review:

Using MATLAB® and Simulink® to perform symbolic, graphical, numerical, and simulation tasks, Modeling and Analysis of Dynamic Systems provides a thorough understanding of the mathematical modeling and analysis of dynamic systems. It meticulously covers techniques for modeling dynamic systems, methods of response analysis, and vibration and control systems. After introducing the software and essential mathematical background, the text discusses linearization and different forms of system model representation, such as state-space form and input-output equation. It then explores translational, rotational, mixed mechanical, electrical, electromechanical, pneumatic, liquid-level, and thermal systems. The authors also analyze the time and frequency domains of dynamic systems and describe free and forced vibrations of single and multiple degree-of-freedom systems, vibration suppression, modal analysis, and vibration testing. The final chapter examines aspects of control system analysis, including stability analysis, types of control, root locus analysis, Bode plot, and full-state feedback. With much of the material rigorously classroom tested, this textbook enables undergraduate students to acquire a solid comprehension of the subject. It provides at least one example of each topic, along with multiple worked-out examples for more complex topics. The text also includes many exercises in each chapter to help students learn firsthand how a combination of ideas can be used to analyze a problem.

Dynamic Response of Linear Mechanical Systems

Dynamic Response of Linear Mechanical Systems
  • Author : Jorge Angeles
  • Publisher : Springer Science & Business Media
  • Pages : 578
  • Relase : 2011-09-15
  • ISBN : 9781441910264

Dynamic Response of Linear Mechanical Systems Book Review:

Dynamic Response of Linear Mechanical Systems: Modeling, Analysis and Simulation can be utilized for a variety of courses, including junior and senior-level vibration and linear mechanical analysis courses. The author connects, by means of a rigorous, yet intuitive approach, the theory of vibration with the more general theory of systems. The book features: A seven-step modeling technique that helps structure the rather unstructured process of mechanical-system modeling A system-theoretic approach to deriving the time response of the linear mathematical models of mechanical systems The modal analysis and the time response of two-degree-of-freedom systems—the first step on the long way to the more elaborate study of multi-degree-of-freedom systems—using the Mohr circle Simple, yet powerful simulation algorithms that exploit the linearity of the system for both single- and multi-degree-of-freedom systems Examples and exercises that rely on modern computational toolboxes for both numerical and symbolic computations as well as a Solutions Manual for instructors, with complete solutions of a sample of end-of-chapter exercises Chapters 3 and 7, on simulation, include in each “Exercises” section a set of miniprojects that require code-writing to implement the algorithms developed in these chapters

Design and Analysis of Control Systems

Design and Analysis of Control Systems
  • Author : Arthur G.O. Mutambara
  • Publisher : CRC Press
  • Pages : 528
  • Relase : 2017-12-14
  • ISBN : 9781351456074

Design and Analysis of Control Systems Book Review:

Written to inspire and cultivate the ability to design and analyze feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. From the development of the mathematical models for dynamic systems, the author shows how they are used to obtain system response and facilitate control, then addresses advanced topics, such as digital control systems, adaptive and robust control, and nonlinear control systems.

Dynamic Modeling of Environmental Systems

Dynamic Modeling of Environmental Systems
  • Author : Michael L. Deaton,James J. Winebrake
  • Publisher : Springer Science & Business Media
  • Pages : 197
  • Relase : 2012-12-06
  • ISBN : 9781461213000

Dynamic Modeling of Environmental Systems Book Review:

A primer on modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate level environmental professionals seeking an introduction to modeling in their field.

Identification of Dynamic Systems

Identification of Dynamic Systems
  • Author : Rolf Isermann,Marco Münchhof
  • Publisher : Springer Science & Business Media
  • Pages : 705
  • Relase : 2010-11-22
  • ISBN : 9783540788799

Identification of Dynamic Systems Book Review:

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.