Last updated Aug 2011

**General and Introductory Material **(Stage 1 and above)

- A brief history of feedback control – from Theorem.Net
- Why study process control? – R.M. Price explains.
- Gerhard’s Info. on Process Control provides good background on the why’s of Process Control with special emphasis on the chemical industry. Well worth a visit.
- Introduction to Process Control from Edinburgh Uni.
- Introduction to Statistical Process Control (Stage 2 and above)
- Charles William’s Feedback and Temperature Control simulation
- John Shaw’s notes on the
- F.G. Shinkey on Averaging Level Control
**MATLAB**- Control Tutorials for MATLAB
- Using MATLAB in Control – Ian Petersen shows you how, while
- Dr. Qammar from the Uni. of Akron, has made available a load of MATLAB m.files used in his process control classes

**Process Dynamics**(Stage 2 and above, require Acrobat reader )- Poles and Zeros – an interactive tutorial
- Process Control tutorials from
**Control Engineering Online** - And from The Readout Instrumentation Signpost
- Tuning of PID controllers – a set of procedures by Abdul Aziz Ishak
- A complete course in Automatic Process Control by Prof. Tom Edgar of Uni. Texas at Austin

**Intermediate Level **(Stage 3 and above)

**Process Control 2 notes**by Mark Willis (all require Acrobat reader )

**Multivariable Systems and Control**(all require Acrobat reader )- Multivariable Control: an introduction – a set of notes by Mark Willis introducing multivariable control and relative gain analysis
- Introduction to decoupling control – continues with multivariable systems; input-output structures and decoupling networks that can alleviate problems associated with loop interactions. And the overheads to go with the notes (set 1 and set 2).

**Advanced Process Control**– what is it? A set of control notes that does not contain equations.

**Digital Control**(Stage 4 Control 4)- Process Computer Implementation Strategies
- Mathematics of sampled data systems
- Discrete PID controllers
- Modified discrete PID algorithms (coming soon)
- Design of simple digital controllers
- Dynamic models for controller design (requires Acrobat reader )
- Minimum variance and generalised minimum variance control (requires Acrobat reader )

**Robust Control**study notes (Stage 4, Control 3)The following require Acrobat reader- Introduction to Frequency Response
- Plotting Frequency Response
- Frequency Responses of Typical Systems
- Frequency Response of 2nd-order Underdamped System
- Applications of Frequency Response Techniques
- Useful things to remember when applying Frequency Response Techniques

The following HTML versions will be replaced by the pdf equivalents in the near future

- Limitations of Laplace domain analysis – explains why Laplace Transforms is not enough
- Frequency Domain Analysis – an introduction into the use of frequency response techniques for system identification and controller design (still a bit rough-and-ready and only part complete, but sufficient to keep you going). There’s also a MATLAB demo
- Things to remember about complex numbers and transfer functions in frequency response analysis
- Sensitivity Functions – what are they?
- Brief Notes on Vector Norms
- Optimality of Control

**Dealing with Measurement Noise**gives an introduction to noise filtering (Stage 3, Process Measurement)**Inferential Estimation and Control**– what it is and why we need it.**Review of Methods for Nonlinear Control**– a set of notes by Mark Willis (requires Acrobat reader )

**Model Predictive Control**– a survey of MPC technology that is available commercially by Joe Qin (Stage 4 and above)**Distillation column control design using steady state models****Model Uncertainty and Robust Control**– a paper by Prof. Karl Astrom of Lund University, Sweden [requires Acrobat reader ]**The PLC Tutor**is a tutorial on Programmable Logic Controllers- Process Control tutorials from
**Control Engineering Online**

**Process Control Virtual Lab**– from the Uni. Texas at Austin. Contains tutorials and simulations to help with visualisation of system responses and to practise controller tuning.- Visit the Virtual Control Lab at Bochum University

**Advanced Level **(MSc. and above)

- Fuzzy Logic tutorial from the Seattle Robotics Society
- Fuzzy Systems – A Tutorial
- Multivariate Statistical Quality Control – Virginia U.
- Neural Networks
- Bibliography of Lie theory and Neural Networks collected by Yves Moreau
- Introduction to RBF Networks by Mark Orr
- Neural Networks at your Fingertips
- Neural Networks FAQ
- Neural Networks Tutorials and Demos
- The Perceptron provides a good introduction into the mechanism of the perceptron

**Links to Process Control and Automation Information and Resources**

e-Journals relevant to Process Control and Automation accessible from computers at Newcastle University