Lecturer(s)
|
-
Jirava Pavel, Ing. Ph.D.
-
Křupka Jiří, doc. Ing. PhD.
|
Course content
|
Mathematical description of dynamic management systems. Management system characteristics. System modelling and identification. Tools for system modelling and simulation in MATLAB and designing m-files in MATLAB. Synthesis of continuous linear management systems. Analysis and synthesis of discreet, adaptive and fuzzy management systems. "Soft" management systems.
|
Learning activities and teaching methods
|
Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work
|
Learning outcomes
|
The aim of the course is to get the students to understand the necessity of an interdisciplinary approach to system study, solving problems of complexity and inner dependency among the system elements, as well as to teach them skills to create simulation cybernetic economic models in MATLAB.
The students will be able to design a mathematical model of systems of logical control, continuous linear control, discrete control systems, adaptive control and fuzzy control system type in MATLAB/Simulink and to analyse the results.
|
Prerequisites
|
Assumed elementary knowledge of logic, fuzzy and linear continuous control.
|
Assessment methods and criteria
|
Written examination, Home assignment evaluation, Work-related product analysis
There will be one 3-hour tutorial and one 5-hour meeting during the semester. In the tutorial the issue of key topics will be explained, more detailed information will be provided on preparing materials for the project "System design and analysis", and the issue of a specific topic in the management area will be solved. At the end of the semester during a meeting in a computer laboratory students will be required to design and analyse systems in MATLAB/Simulink/Continuous, Matlab/Simulink/Discrete and MATLAB/fuzzy toolbox. Assignment granting is conditional to the following: completion of set tasks during the semester; completion and successful presentation of the semester project; successful passing of the final test, which is based on assessing skills in MATLAB. Examination is written and the questions are based on the set topics and on the project "System design and analysis".
|
Recommended literature
|
-
BAGRINOVSKIJ, A. K. Modely a metódy ekonomickej kybernetiky. Bratislava: ALFA, 1979.
-
BALÁTĚ, J. Automatické řízení. Praha: BEN, nakladatelství technické literatury, 2003. BEN, 2004.
-
DUŠEK, F. MATLAB a Simulink - úvod do používání. Pardubice: Univerzita Pardubice, 2002.
-
JOHN, J. Systémy a řízení. Praha : ČVUT, 1998.
-
KŘUPKA, J., KAŠPAROVÁ, M. Modelování v kostce pro MATLAB a Simulink. Distanční opora. Pardubice : Univerzita Pardubice, 2009.
-
Křupka, Jiří. Teorie systémů I : pro kombinovanou formu studia. Pardubice: Univerzita Pardubice, 2007. ISBN 80-7194-923-X.
-
MAŘÍK, V. - ZDRÁHAL, Z. Obecná teorie systémů. Řešené příklady. Praha : Ediční středisko ČVUT, 2001.
-
SKOGESTAD, S. - POSTLETHWAITE, I. Multivariable feedback control : analysis and design. Chichester : John Wiley & Sons, 1996.
-
ŠIMONČIČ, S. I. Ekonomická kybernetika. Praha: SNTL, 1986.
-
ŠTACH, J. Základy teorie systémů. Praha : SNTL, 1982.
-
TŮMA, F. Kybernetika. 6. vyd., Plzeň : Západočeská univerzita, 2003.
|