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Modeling and Control of Engineering Systems
First Indian Reprint 2013 ,
796 p, Soft Cover,
Taylor & Francis
Rs. 1495 /- For Sale in South Asia Only
About The Book
Table Of Contents
About The Author
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 thermal systems and then systematically covers conventional, advanced, 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 technique 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. This approach enables readers to thoroughly grasp the core foundation of the subject and understand how to apply the concepts in practice. Key Features: * Takes an Integrated approach to modelling engineering systems that draws from equivalent circuits, Thevenin's Theorem and linear (line graphs) * Describes conventional and popular control techniques both in time domain and frequency domain * Covers intelligent control techniques, such as fuzzy logic control * Presents important aspects of laboratory experimentation, including control system instrumentation * Discusses the use of MATLAB, Simulink, LabVIEW, and the associated toolboxes * Includes a large number of real-world examples Control ensures accurate operation of a system. Proper control of an engineering system requires a basic understanding and a suitable representation (model) of the system. This book builds up expertise in modeling and control so that readers can further their analytical skills in hands-on settings.
1.Modeling and Control of Engineering Systems 2.Modeling of Dynamic Systems 3.Model Linearization 4.Linear Graphs 5.Transfer-Function and Frequency-Domain Models 6.Response Analysis and Simulation 7.Control Systems Structure and Performance 8.Stability and Root Locus Method 9.Controller Design and Tuning 10.Digital Control 11.Advanced Control 12.Control System Instrumentation Appendix A: Transform Techniques Appendix B: Software Tools Appendix C: Review of Linear Algebra Index
"Clarence W. de Silva is a professor of mechanical engineering and Tier 1 Canada Research Chair Professor of Mechatronics and Industrial Automation (formerly Senior NSERC-BC Packers Research Chair Professor) at the University of British Columbia. "
Students of All Engineering Disciplines
Aeronautical, Automobile, Electrical, Electronics, Control, Communication, Mechanical, Civil, CS, IT etc...
"Modeling - Control - Dynamic - linearization - Graphs -- Transfer - Response - Simulation - Performance - Stability - Controller - Design - Tuning
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