Showing posts with label simulink. Show all posts
Showing posts with label simulink. Show all posts

System Dynamics for Engineering Students: Concepts and Applications Review

System Dynamics for Engineering Students: Concepts and Applications
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Nicolae Lobontiu, Associate Professor of Mechanical Engineering at the University of Alaska-Anchorage, brings his years of experience teaching classes in system dynamics, as well as the knowledge gleaned from writing four related previous texts -- Dynamics of Microelectomechanical Systems; Mechanical Design of Microresonators; Mechanics of Microelectromechanical Systems; and, Compliant Mechanism: Design of Flexure Hinges -- to produce this solid text for students entering this emerging field.
The discipline of system dynamics focuses on teaching students "how to create and analyze mathematical models of dynamic, mechanical, electrical/electromagnetic, thermal, and fluid/pneumatic systems" for the purpose of designing and then testing systems before they are actually built. While the author retains a classical approach, Lobontiu also introduces examples from compliant mechanisms and microscale devices and machines.
Consideration is given to mechanical engineering problems for junior and senior-level undergraduate students in support of mechanical, aerospace, electrical, biomedical and civil engineering courses and explores mechanism and movement in springs and joints present in "micro-machined, lithographic based devices to traditional models of microscale, fluidic, and electromechanical systems." Offers a "foundation and framework for the development of controllers applied to these dynamical systems." Includes examples and problems at the end of each chapter to familiarize readers with the modeling and dynamical systems engineers are likely to encounter in the future.
Publisher touts the text as "the first system dynamics textbook to include extensive examples from the relatively new application areas of microelectromechanical systems (MEMS) and compliant (flexible) mechanical devices," and to offer "more ancillary instructor support than any other system dynamics text."
Text is divided into eleven chapters and four appendices:
Ch. 1 Introduction; Ch 2. Mechanical Systems I; Ch. 3 Mechanical Systems II; Ch. 4 Electrical Systems; Ch. 5 Fluid and Thermal Systems; Ch. 6 The Laplace Transform; Ch. 7 Transfer Function Approach; Ch. 8 State-Space Approach; Ch. 9 Frequency Domain Approach; Ch. 10 Coupled-Field Systems; Ch. 11 Introduction to Modeling and Design of Feedback Control System.
Appendix A Solution to Linear Ordinary Homogeneous Differential Equations with Constant Coefficients; Appendix B Review of Matrix Algebra; Appendix C Essentials of MATLAB and System Dynamics-Related Toolboxes; and, Appendix D Deformations, Strains and Stresses of Flexible Mechanical Components.
Recommended for use by instructors teaching a one-semester text for engineering students; by scientists and practicing engineers wanting to better understand the fundamentals of dynamic systems, engineering modeling, vibrations, and system dynamics; and, inclusion in college and university library collections supporting mechanical, aerospace, electrical, biomedical and civil engineering courses.
R. Neil Scott
Middle Tennessee State University


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Continuous System Simulation Review

Continuous System Simulation
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This book provides an excellent description of many different integration schemes and describes their regions of stability. Understanding numerical stability is a necessity for modeling and simulation engineers. It is possible to simulate an unstable system with simulation results that appear stable. Cellier explains how and why this can happen as well as explaining other pitfalls of simulating continuous systems.

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Highly computer-oriented text, introducing numerical methods and algorithms along with the applications and conceptual tools. Includes homework problems, suggestions for research projects, and open-ended questions at the end of each chapter. Written by our successful author who also wrote Continuous System Modeling, a best-selling Springer book first published in the 1991 (sold about 1500 copies).

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Modeling and Simulation of Systems Using MATLAB and Simulink Review

Modeling and Simulation of Systems Using MATLAB and Simulink
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Firstly, the cd does not contain any MatLab code or Simulink sample models, it just contains very simple powerpoint presentations. I personally was not impressed by any of the information presented there. The text does discuss mathematical modelling using Matlab and some code is presented in the book. It assumes you know at least introductory Matlab, and the this is one of my beef's with the text; it is not an introductory Matlab text. In addition, the simulink component is just touched very briefly on towards the text's end. The book can be used to gain an appreciation of modelling, but additional references will have to be obtained to enhance one's competency in Matlab and Simulink.

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Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB and Simulink provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented.After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.AncillariesAccompanying CD-ROM includes simulation code in MATLAB and Simulink, enabling quick and useful insight into real-world systems. A solutions manual is available for qualifying instructors.

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Modeling and Simulation of Dynamic Systems Review

Modeling and Simulation of Dynamic Systems
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I have taken the Modeling course at UT Arlington with Dr. Woods (the author), the book covers modeling techniques for Electrical, mechanical, heat tranfer..systems. it has a practical review of differenitial equations. Also has Practical simulation information. and it is great to keep as a reference.

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This book reflects the state-of-the-art and current trends in modeling and simulation. The book 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 presentation 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. For anyone interested in systems dynamics, modeling, and interdisciplinary systems.

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