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1 College of Engineering, Pune Academic Curriculum PhD in Instrumentation and Control Academic Year
2 Sudhir D. Agashe Dean, Academics College of Engineering, Pune Pune INDIA Typeset by the College of Engineering, Pune in LaTeX Design, Layout and Typography Style by Amit M. Manthanwar Printed in India on Acid Free Paper Control Number: COEP2010IEPHD06 Curriculum for PhD in Instrumentation and Control Copyright July 2010 College of Engineering, Pune All rights reserved. The contents of this document are protected by the data protection laws. This information may not be translated or copied in whole or in part without written permission of the publisher (College of Engineering, Pune). Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
3 Contents IE 701 PhD Course Modules 1
4 PhD Course Modules IE Numerical Techniques and Programming Methods 1 2. Process Optimisation 3. Dynamical System Design and Analysis 4. Instrument and System Design 5. Biomedical Instrumentation 6. Intelligent Sensors 7. Digital Control 8. Advanced Process Control 9. Soft Computing Techniques 10. Embedded System Design Unit 1: Numerical Techniques and Programming Methods Linear algebra, vector spaces, differential and integral calculus, search methods, computational geometry, probability and statistics. Unit 2: Process Optimization Multivariable optimization, linear programming, quadratic programming, integer programming, sequential quadratic programming, global optimization, geometric programming and dynamic programming. Unit 3: Dynamical System Design and Analysis Development of system models using lumped and distributed parameter techniques, numerical analysis and simulation, experiment design, case studies. Unit 4: Instrument and System Design Need analysis, shielding, cabling, electromagnetic interference (EMI), electromagnetic compatibility, electrostatic discharge, different kind of noise and their reduction techniques. Unit 5: Biomedical Instrumentation Physiological measurements, non-invasive measurement techniques, biomedical signal analysis, modeling of physiological systems. Unit 6: Intelligent Sensors Consideration for sensor design, smart materials and their characterisation, features of intelligent sensors, testing and validation, case studies. 1 offered as a special course in instrumentation and control if the contents are not covered by other departments.
5 IE 701: PhD Course Modules Unit 7: Digital Control Digital systems and signal analysis, control system design, stability improvement by state feedback, digital controller tuning. Unit 8: Advanced Process Control [S hrs] ystem identification, multivariable control system design of linear, bilinear, mixed-integer and nonlinear systems, optimal control, model-based predictive control, adaptive control. Unit 9: Soft Computing Fuzzy logic, neural network, support vector machines, genetic algorithms. Unit 10: Embedded System Design Embedded system design concepts, memory management, I/O management, analog and digital sensors interfacing, actuator interfacing, final state machine design, design tools. Reference Books: Vaidyeswaran Rajaraman; Computer oriented numerical methods, Prentice-Hall of India, 2nd edition, (1980) Jorge Nocedal and Stephen Wright; Numerical Optimization, Springer, 2nd edition, (2006) S. S. Rao; Engineering Optimization: Theory and Practice, Wiley, 4th edition, (2009) Ian T. Cameron, Katalin Hangos, John Perkins, George Stephanopoulos; Process Modelling and Model Analysis, Academic Press, 1st edition, (2001) Sabrie Soloman; Sensors handbook, McGraw Hill, (1999) J. Fraden; Handbook of modern sensors; physics, design and application, Springer, 3rd edition, (2004) R. Frank; Understanding smart sensors, Artech house, (1996) Frank Vahid and Tony D. Givargis; Embedded System Design: A Unified Hardware/Software Introduction, Wiley, (2001) Joseph D. Bronzino; The Biomedical Engineering Handbook, CRC Press, 3rd edition, (2006) Henry Ott; Electromagnetic Compatibility Engineering, Wiley, 1st Edition, (2009) Dale E. Seborg, Duncan A. Mellichamp, Thomas F. Edgar, Francis J. Doyle III; Process Dynamics and Control, John Wiley and Sons, 3rd edition, (2010) F. Gregg Shinskey; Process Control Systems: Application, Design, and Tuning, McGraw-Hill Professional, 4th Edition, (1996) B. Wayne Bequette; Process Control: Modeling, Design and Simulation, Prentice Hall, (2003) Instrumentation and Control COEP 2
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