Syllabus

Modified

July 28, 2025

Topics covered

We will cover a broad range of topics including:

  • Cascade, Ratio and Feedforward control.
  • PID Enhancements: inferential, over-ride and selective control; scheduling controller tuning; implementation
  • Other Advanced Control Techniques: deadtime compensation; adaptive control (programmed adaptation; self-tuning control; online parameter estimation).
  • Multi-input Multi-output Systems: process and control loop interactions; control loop pairings; decoupling control systems; multivariable control.
  • Digital Control Systems: Z transforms; discrete time models; dynamic response; discrete time control algorithms; closed loop analysis; digital control system implementation. Review of process modeling and simulation techniques. Modeling for Fault Diagnosis: prediction-based and identification-based diagnosis. Empirical Modeling: linear and non-linear models; artificial neural networks; ARMAX models.
  • Modeling Hybrid (Discrete- Continuous) Systems: representation and solution.
  • Case Studies and Applications in Process Engineering.

Course materials

Books

The books listed in the course reading list will be very useful reference material for topics covered in the course.

The content is mainly based on following books.

  • Riggs and Karim ()
  • Seborg et al. ()
  • Romagnoli ()
  • Coughanowr and LeBlanc ()

Besides these books the following online books are useful as well.

Other materials

MATLAB

We will use MATLAB extensively. The MathWorks website has tons of resources to help you learn MATLAB.

Course structure

Program Calendar – Semester 2 2025
Week Begin Date Lecture Computer Lab
Orientation 14 July
1. 21 July Recap of basics of process control and modelling Matlab revision (No lab report)
2. 28 July PID Enhancement Techniques: Ratio and Feedforward Control Feedforward Control Design Simulation
3. 4 August Override Control: Low Select, High Select and Select Control Cascade Control Design Simulation
4. 11 August Advanced Control Techniques: Gain Scheduling, Inferential Control and Smith Predictor Advanced Control Techniques: Gain Scheduling, Inferential Control and Smith Predictor
5. 18 August Time Series Analysis and Modeling ARX and ARIMA Modeling
6. 25 August Principal Component Analysis and PLS Modeling Mid semester test
7. 1 September Tuition Free Week
8. 8 September MIMO Systems: Decentralized Control PCA and PLS Modeling
9. 15 September MIMO Systems: Model Predictive Control Decentralized 2x2 Control Design Simulation
10. 22 September Artificial Neural Network and Other Models MPC Design Simulation
11. 29 September No lecture No lab
12. 6 October Pattern Recognition and Machine Learning ANN Modeling
13. 13 October Model-based Optimization Pattern Recognition and Machine Learning
14. 20 October Study Week
15. 27 October Examinations
16. 3 November Examinations

Course policies

Please refer to the unit outline posted on blackboard for assessment policies, assessments, grades, and pass requirements.

References

Coughanowr, Donald R., and Steven E. LeBlanc. 2009. Process Systems Analysis and Control. 3. ed. Vol. 2. McGraw-Hill Chemical Engineering Series. Boston, Mass.: McGraw-Hill Higher Education.
Marlin, T. E. 1995. Process Control: Designing Processes and Control Systems for Dynamic Performance. McGraw-Hill. http://pc-textbook.mcmaster.ca/.
Riggs, James B., and M. Nazmul Karim. 2007. Chemical and Bio-process Control. Pearson Education International. https://books.google.com?id=XxyfPQAACAAJ.
Romagnoli, José A. 2020. Introduction to Process Control. Edited by Ahmet Palazoğlu. Third edition. Boca Raton, Florida ; London ; New York :; Boca Raton, Florida ; London ; New York :; Boca Raton, Florida ; London ; New York : CRC Press. https://books.google.com?id=tC3tDwAAQBAJ.
Seborg, Dale E., Thomas F. Edgar, Duncan A. Mellichamp, and Francis J. Doyle III. 2016. Process Dynamics and Control. John Wiley & Sons. https://books.google.com?id=ZZVFEAAAQBAJ.
Woolf, Peter. 2020. “Chemical Process Dynamics and Controls.” Engineering LibreTexts. May 19, 2020. https://eng.libretexts.org/Bookshelves/Industrial\_and\_Systems\_Engineering/Chemical\_Process\_Dynamics\_and\_Controls\_(Woolf).