Subjects

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Advanced Control Engineering - AP445010

Title:	Advanced Control Engineering
Guaranteed by:	Department of Computing and Control Engineering (445)
Faculty:	Faculty of Chemical Engineering
Actual:	from 2019 to 2020
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
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 Schedule

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)

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)

Learning outcomes -

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)

Entry requirements -

none

Last update: Pátková Vlasta (19.11.2018)

Registration requirements -

none

Last update: Pátková Vlasta (19.11.2018)