Description
Developed from the author’s academic and industrial experiences, Modeling and Control of Engineering Systems provides a unified treatment of the modeling of mechanical, electrical, fluid, and intelligent control, instrumentation, experimentation, and design. It includes theory, analytical techniques, popular computer tools, simulation details, and applications.
Overcoming the deficiencies of other modeling and control books, this text relates the model to the physical system and addresses why a particular control techniques is suitable for controlling the system. Although MATLAB, Simulink, and LabVIEW are used, the author fully explains the fundamentals and analytical basis behind the methods, the choice of proper tools to analyze a given problem, the ways to interpret and validate the results, and the limitations of the software tools.
Table of Content
Modeling and Control of Engineering Systems
Modeling of Dynamic Systems
Model Linearization
Linear Graphs
Transfer-Function and Frequency-Domain Models
Response Analysis and Simulation
Control System Structure and Performance
Stability and Root Locus Method
Controller Design and Tuning
Digital Control
Advanced Control
Control System Instrumentation
Appendix A: Transform Techniques
Appendix B: Software Tools
Appendix C: Review of Linear Algebra
Index
About The Author
Dr. Clarence W. de Silva, P.E., Fellow ASME and Fellow IEEE, is a professor of Mechanical Engineering at the University of British Columbia, Vancouver, Canada, and occupies the tier 1 Canada Research Chair professorship. Prior to that, he has occupied the NSERC-BC Packers Research Chair professorship in Industrial Automation since 1988. He has served as a faculty member at Carnegie Mellon University (1978-1987) and as a Fulbright Visiting Professor at the University of Cambridge (1987/1988)
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