Overview
- Focuses on the Bond Graph Method, a technique that covers interdisciplinary modeling problems
- Addresses how to use software, such as MATLAB and Simulink and 20-Sim, to use different modeling paradigms interchangeably
- Explains all analytical equations with different examples of electrical, mechanical, and mechatronics systems
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.
Authors and Affiliations
About the author
Asif Mahmood Mughal is Adjunct Faculty Member (PTP) at the Center for Advanced Studies in Engineering in Pakistan.
Bibliographic Information
Book Title: Real Time Modeling, Simulation and Control of Dynamical Systems
Authors: Asif Mahmood Mughal
DOI: https://doi.org/10.1007/978-3-319-33906-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-33905-4Published: 06 July 2016
Softcover ISBN: 978-3-319-81629-6Published: 30 May 2018
eBook ISBN: 978-3-319-33906-1Published: 27 June 2016
Edition Number: 1
Number of Pages: XVI, 187
Number of Illustrations: 59 b/w illustrations, 89 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Control and Systems Theory, Simulation and Modeling, Biomedical Engineering and Bioengineering