Techniques of Model-Based Control

Reader's review:
I found this book very helpful to review and understand the different techniques used to design and apply the algorithms needed to develop the model of a process to be controlled. It uses Matlab and Simulink as tools to reproduce examples on the text, but the authors also encourage the readers to use whichever tools they are more comfortable with.
The fact that the book focuses more in the model development process, different models structures, tuning and synthesis, rather than in the underlying theory was very appealing to me.
As an aid, in the appendices the following material is reviewed:
- Laplace transforms and blocks diagrams.
- Frecuency response methods.
- Linear least square regression.
- Probability theory and random variables.
- Matlab and Simulink software.

I am an Industrial Practitioner of Process Measurement & Control. I work in the Oil and Gas Industry as an Instrumentation, Automation and Process Control Engineer. My academic background is in electrical and electronics engineering, not in chemical engineering as might be the case of the usual reader of this book, but I have been working in the process industries for about 16 years, so I have been dealing with Chemical-Process Control issues in a day-to-day basics. I found this book to be a very useful reference to gain a better understanding of Model-Based Control Applications.