Advanced Control Engineering - AP445010
Title: Advanced Control Engineering
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2021
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Mareš Jan prof. Ing. Ph.D.
Hrnčiřík Pavel doc. Ing. Ph.D.
Interchangeability : P445010
Examination dates   
Annotation -
The course deals with advanced process control methodology: (i) adaptive control, (ii) advanced predictive control, (iii) expert systems. Soft skills training is an integral part of the course. Students have to prepare a draft of scientific paper and have to defend their projects.
Last update: Pátková Vlasta (19.11.2018)
Aim of the course -

Students will be able to:

use advanced predictive control and nonlinear predictive control of technological process

use artificial intelligence for modelling and control

Last update: Pátková Vlasta (19.11.2018)
Course completion requirements -

3 individual projects: 0 - 25 points

Oral exam: 0-75 points

100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F.

Last update: Pátková Vlasta (19.11.2018)
Literature -

Z: CAMACHO, E.F., BORDONS, C. Model Predictive Control. London : Springer-Verlag London Limited, 2007. 978-1-85233-694-3

Z: MACIEJOWSKI, J. M. Predictive Control with Constraints. Harlow (UK) : Prentice Hall, 2002. ISBN 0-201-39823-0.

D: BAOTIC, M., CHRISTOPHERSEN, F. J.,MORARI, M. Constrained Optimal Control of Hybrid Systems With a Linear Performance Index. IEEETrans. on Automatic Control, 51(12):1903-1919, December 2006.

Last update: Pátková Vlasta (19.11.2018)
Teaching methods -

lectures, project and solving of case stidies

Last update: Pátková Vlasta (19.11.2018)
Requirements to the exam -

3 individual projects: 0 - 25 bodů

Oral exam: 0-75 bodů

100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F.

Last update: Pátková Vlasta (19.11.2018)
Syllabus -

1. Adaptive methods of proces control in chemistry

2. State estimation

3. Advanced predictive control in technological praxis

4. Piece wise affine predictive control

5. Nonlinear predictive control

6. Case study: Nonlinear predictive control

7. Artificial intelligence in proces control

8. Fuzzy systems in prcess control

9. Expert systems in proces control

10. Expert systems in bioproces control

11. Case study: Bioprocess control

Last update: Pátková Vlasta (19.11.2018)
Learning resources -

https://www.honeywellprocess.com/en-us/explore/products

Last update: Pátková Vlasta (19.11.2018)
Entry requirements -

none

Last update: Pátková Vlasta (19.11.2018)
Registration requirements -

none

Last update: Pátková Vlasta (19.11.2018)