Dynamic Systems: Modeling, Simulation, and Analysis

Description

Presenting students with a comprehensive and efficient approach to the modelling, simulation, and analysis of dynamic systems, this textbook addresses mechanical, electrical, thermal and fluid systems, feedback control systems, and their combinations. It features a robust introduction to fundamental mathematical prerequisites, suitable for students from a range of backgrounds; clearly established three-key procedures - fundamental principles, basic elements, and ways of analysis - for students to build on in confidence as they explore new topics; over 300 end-of-chapter problems, with solutions available for instructors, to solidify a hands-on understanding; and clear and uncomplicated examples using MATLAB (R)/Simulink (R) and Mathematica (R), to introduce students to computational approaches. With a capstone chapter focused on the application of these techniques to real-world engineering problems, this is an ideal resource for a single-semester course in dynamic systems for students in mechanical, aerospace and civil engineering.

Bingen 'Ben' Yang is Professor of Aerospace and Mechanical Engineering at the University of Southern California, where he has taught for more than three decades. Being an active researcher, he has more than 230 publications in the areas of structures, dynamics, vibrations, controls, and mechanics. His current research interest lies in modeling, analysis, control and design of flexible structures, electromechanical systems, and computational methods for problems in engineering applications. A fellow of the American Society of Mechanical Engineers, Dr. Yang received his Ph.D. in mechanical engineering from the University of California at Berkeley. Inna Abramova is a senior lecturer of Aerospace and Mechanical Engineering at the University of Southern California, where she has taught for seven years. Her research interests lie in the areas of dynamics and controls, with emphasis on collaborative operations of autonomous agents. Dr. Abramova received her Ph.D. in mechanical engineering from the University of Southern California.

'A good teaching reference, particularly for new faculty in this area. Certainly, the book is also good for students as it contains lots of sample codes in MATLAB and Mathematica.' Jian-qiao Sun, University of California, Merced 'An excellent fit for junior undergraduates in engineering to learn about mathematical modeling of several physical systems, and further solving the models to predict their behaviors. The relationship between inputs, system state, and outputs of a system are emphasized throughout the book. Additionally, the mathematical models are also represented using block diagrams that can then be simulated. The layout of the book strongly supports learning of fundamental principles and elements of modeling at the beginning, followed by their adaptation to both simple and complex real-world dynamic systems in other chapters.' Rajesh Ganesan, George Mason University 'Adopting a holistic approach, this book addresses the modeling, simulation, and analysis of dynamic systems at the undergraduate level. It provides comprehensive coverage of fundamental concepts, with carefully selected applications from different fields of engineering. The exposition is methodical and the accompanying illustrations are extensive, a combination that makes the book remarkably easy and enjoyable to read.' Fai Ma, University of California, Berkeley 'An excellent book on the dynamics of multi-domain systems. It is thorough and comprehensive, with a good balance of physical interpretation, mathematical formulation, practical applications, and numerical simulations.' Steve Shen, University of Washington 'Provides an excellent introduction to the subject and equips students with in-depth understanding of the fundamental principles of modeling of dynamic systems. The book contains a broad range of examples, helping students to build a strong foundation in this subject. The sequence of chapters, beginning with basics and ending with real-world applications, is well planned.' Chi-An Tan, Wayne State University