Course unit code:
Course unit title:
Automatic Control Theory II
Mode of delivery, planned learning activities and teaching methods:
lecture – 2 hours weekly (on-site method)
laboratory practice – 3 hours weekly (on-site method)
Credits allocated:
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 2. semester
Level of study:
Prerequisites for registration:
Assesment methods:
The course is evaluated as follows: 30% work during the semester, 30% written examination, and 40% oral examination (theory). Evaluation scale follows the standard scale of the faculty.
Learning outcomes of the course unit:
Students know advanced theory of automatic control, are able to design feedback control of discrete-time processes in state and input-output representations. Students understand optimal control (calculus of variations, PMP, dynamic programming) and are able to design optimal controller and Kalman filter.
Course contents:
1. Stability of feedback systems (allowance 14/21)
a. Feedback system
Lyapunov stability
Internal stability
Coprime factorization
Model uncertainty
Small gain theorem
Linear fractional transformation
Parameterization of controllers
PA control

2. Performance of feedback systems (allowance 12/18)
a. Algebraic Riccati Equations
LQ control
LQG control
H2 control
HINF control

Recommended or required reading:
  • MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 p. ISBN 978-3-540-71969-4.
Language of instruction:
Slovak, English
Assessed students in total:

A 32.1 %

B 24.5 %

C 21.7 %

D 12.3 %

E 5.7 %

FX 3.7 %

Name of lecturer(s):
M. Fikar, F. Janeček (2016/2017 – Winter)
M. Fikar, D. Pakšiová (2015/2016 – Winter)
Course supervisor:
prof. Ing. Miroslav Fikar, DrSc.
Last modification:
16. 1. 2018

Department of Information Engineering and Process Control

AIS: 2017/2018  

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