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Dynamic Systems: Modeling Simulation, and Analysis
Dynamic Systems: Modeling Simulation, and Analysis
by Bingen Yang, Inna Abramova
  • Publisher: University of Cambridge Press
  • Year: 2022
  • ISBN: 9781107179790 (Hardcover)
  • 750 pp
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®/Simulink® and Mathematica®, 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.

Introduces a three-key procedure for modelling dynamic systems (fundamental principles, basic elements, and ways of analysis), building student confidence as they methodically work through fundamental topics. Reviews the relevant mathematics so that students from different mathematical backgrounds can master concepts with ease. Integrates modelling, simulation and analysis of dynamic systems in an entire chapter dedicated to application problems, providing students with a comprehensive and hands-on review of the theories and methods covered in the book. Illustrates examples with Matlab®/Simulink® and Mathematica®, so that students can apply the theory to application into computational software. Clear and concise mathematical treatments of physical problems mean students don't need to wade through complex derivations. Related Topics
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