|Statement||[by] William R. Perkins [and] José B. Cruz, Jr.|
|Contributions||Cruz, José Bejar, joint author.|
|LC Classifications||TA168 .P39|
|The Physical Object|
|Pagination||xii, 568 p.|
|Number of Pages||568|
|LC Control Number||72081336|
MODELING OF DYNAMIC SYSTEMS takes a unique, up-to-date approach to systems dynamics and related controls coverage for undergraduate students and practicing engineers. It focuses on the model development of engineering problems rather than response analysis and simulation once a model is available, though these are also by: 3. This book attempts to integrate an introduction to dynamic systems modeling theory with dynamic systems analysis using MATLAB. The problem is that after the first three chapters, which briefly review the mathematical foundation, the writing is disorganized and s: 1. Engineering of Dynamic Systems by Chad Perkins A readable copy. All pages are intact, and the cover is intact. Pages can include considerable notes-in pen . Description. A Practical Approach to Dynamical Systems for Engineers takes the abstract mathematical concepts behind dynamical systems and applies them to real-world systems, such as a car traveling down the road, the ripples caused by throwing a pebble into a .
A course in system dynamics that deals with mathematical modeling and response analyses of dynamic systems is required in most mechanical and other engineering curricula. This book is written as a textbook for such a course. It is written at the junior level and presents a comprehensive treatment of modeling and analyses of dynamic systems and an introduction to control systems/5(60). The text addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). systems (MEMs). This book presents an opportunity for introducing dynamic systems to scientists and engineers who are concerned with the engineering of machines both at the micro- and macroscopic scale. Mechanism and movement are considered from the types of springs and joints that are critical to micro-machined, lithographic based devices to. powerful, but complicated, modern tool for analysis of dynamic systems. However, the material in this book is an appropriate preparation for the bond graph approach presented in, for example, System Dynamics: Modeling, Simulation, and Control of Mechatronic Systems, 5th edition, by Dean C. Karnopp, Donald L. Margolis, and Ronald C. Rosenberg.
The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Engineering system dynamics focus on deriving mathematical models based on simplified physical representations of actual systems, such as mechanical, electrical, fluid, or thermal, and on solving the mathematical models. The resulting solution is utilized in design or analysis before producing and testing the actual system. Book Description MODELING OF DYNAMIC SYSTEMS takes a unique, up-to-date approach to systems dynamics and related controls coverage for undergraduate students and practicing engineers. It focuses on the model development of engineering problems rather than response analysis and simulation once a model is available, though these are also covered. A major focus of the book is computer calculation of system characteristics and responses and graphical display of results, with use of basic (not advanced) MATLAB commands and programs.