Showing posts with label dynamic systems. Show all posts
Showing posts with label dynamic systems. 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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Optimal Estimation of Dynamic Systems, Second Edition (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science) Review

Optimal Estimation of Dynamic Systems, Second Edition (Chapman and Hall/CRC Applied Mathematics and Nonlinear Science)
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It presents the fundamentals of state estimation theory and the tools for the design of state-of-the-art algorithms for navigation and tracking, vehicle attitude determination. There is a lot of material that is covered by this book. The examples are well presented and they really help you when working on the problems at the end of each chapter. Also, computer routines for all the examples shown in the text can be accessed. I have to say that this is an excellent book for estimation of dynamic systems.

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Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB codes for the examples are available on the book's website.New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking.

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Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook Review

Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook
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The most thorough and complete work I have seen on the subject. This provides a lot of in-depth information and insight into various areas not found elsewhere. While quite a bit of theory is presented, the main concentration is providing practical information useful for a wide variety of filter implementations. This will be most useful for somebody with a strong mathematical background, particularly in linear algebra, who is looking for a comprehensive understanding and the best solution for a particular application.

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This book provides a complete explanation of estimation theory andapplication, modeling approaches, and model evaluation. Each topicstarts with a clear explanation of the theory (often includinghistorical context), followed by application issues that should beconsidered in the design. Different implementations designed to addressspecific problems are presented, and numerous examples of varyingcomplexity are used to demonstrate the concepts.This book is intended primarily as a handbook for engineers who must design practical systems. Its primarygoal is to explain all important aspects of Kalman filtering and least-squares theory and application. Discussion of estimator design and model development is emphasized so that the reader may develop an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the "best" model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior.A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared.The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems.The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering.

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Modeling and Control of Dynamic Systems Review

Modeling and Control of Dynamic Systems
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If you are interested in dynamic systems with applications in all branches of engineering, this is the book for you. This text begins with an introduction to control systems, presents a practical review of mathematical concepts applicable to dynamic systems, MATLAB examples and modeling with Simulink, and detailed analysis and design of continuous and digital control systems. Contains many practical examples with detailed explanations and solutions.

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Modeling and Control of Dynamic Systems teaches the basic concepts of control systems analysis and design. The book first focuses on understanding the basic building blocks of the dynamic systems surrounding us - electrical, fluid, mechanical, and thermal - and presents both traditional and modern tools for analyzing and predicting their behavior. Feedback control is presented so readers understand how to develop controllers to affect system behavior. MATLAB/Simulink is a powerful and easy-to-use software used in the text to troubleshoot, analyze and design dynamic systems.

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Mathematics for Dynamic Modeling, Second Edition Review

Mathematics for Dynamic Modeling, Second Edition
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This is not a new cover on an older book. Having enjoyed Beltrami's first book I was glad to see a second. The new continues the subject of modeling not math. Well written, the author's book ties the conceptual difficulites of the subjects with the necessary math to get the point accross and guide the reader to new frontiers of insight again in the sense of the physical model not the math. This is a very important point! One does not lose sight of the over-all objective as with some math intensive proof types. The beauty of the work is getting the necessary across with the least. One disappointment though. The book was to short. I hope the author continues another work. Perhaps some more indepth of previous covered material. All examples and problems are easily solved in Mathcad, which already has the depth but sometimes not the explanation.

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