**6. Acknowledgement**

The author thanks the help from teachers, colleagues and friends, especially, Professor Gang WU from University of Science and technology of China, Associate Professor Wei CHEN from Hefei University of Technology and Associate Professor De-Feng HE from Zhejiang University of Technology.

This work is supported Special Foundation for Ph. D. of Hefei University of Technology (No. 2010HGBZ0616) and Inventive Project for Young Teachers of Hefei University of Technology (2011HGQC0994), both comes from the Fundamental Research Funds for the Central Universities, China.

### **7. References**

4 Frontiers of Model Predictive Control

position of MPC in a whole process control project is shown in Fig. 2. We can see that, MPC

Now, the rapid development in computational science and technology leads to the second boom of MPC, especially on the applicative research of it. MPC's application can be found almost in every engineering field rather than process industry, such as MPC in motion control (Richalet, 1993), modern agriculture (Coelho *et al*., 2005), communication (Chisci *et al*., 2006) and even in decision making science (Kouvaritakis *et al*., 2006). In this book, there are also several recent successful applicative example of MPC for interesting plant

It can be believed with much confidence, in the future, the great benefit of MPC could be

Optimization on process scale (Time scale: day/month/year)

Optimization on unit scale (Time scale: hour)

MPC

Local loop controllers (PID *etc*.)

Actuator

The author thanks the help from teachers, colleagues and friends, especially, Professor Gang WU from University of Science and technology of China, Associate Professor Wei CHEN from Hefei University of Technology and Associate Professor De-Feng HE from Zhejiang

This work is supported Special Foundation for Ph. D. of Hefei University of Technology (No. 2010HGBZ0616) and Inventive Project for Young Teachers of Hefei University of Technology (2011HGQC0994), both comes from the Fundamental Research Funds for the

shared by more and more practical domain for more and more people in the world.

Fig. 2. Position of MPC in a typical process control project

**6. Acknowledgement** 

University of Technology.

Central Universities, China.

is in a 'middle' level.

for you.


**Part 1** 

**New Theoretical Frontier** 

Yuzgec U.; Becerikli Y.; Turker M. (2006). Nonlinear predictive control of a drying process using genetic algorithms. *ISA Transactions*, Vol.45, No.4, October, 2006, pp.589-602, ISSN 0019-0578.
