Nov 12, 2019   9:54 p.m. Svätopluk
Academic information system

Summary of topics offered - Faculty of Chemical and Food Technology

Basic information

Type of work: Bachelor thesis
Topic: Prediktívne riadenie procesov chemickej technológie v prostredí Neural Network Toolbox Matlabu
Title of topic in English: Predictive control of chemical technology processes in the Neural Network Toolbox Matlab environment
State of topic: approved (prof. Ing. Miroslav Fikar, DrSc. - Study programme supervisor)
Thesis supervisor: Ing. Anna Vasičkaninová, PhD.
Faculty: Faculty of Chemical and Food Technology
Supervising department: Department of Information Engineering and Process Control - IIEAM FCFT
Max. no. of students: 1
Academic year:2019/2020
Proposed by: Ing. Anna Vasičkaninová, PhD.
Summary: Práca sa zaoberá použitím prediktívneho regulátora, implementovaného v Neural Network Toolboxe Matlabu, pri riadení vybraných procesov chemickej technológie. Úlohy: Opis prostredia Neural Network Toolbox Matlabu. Použitie bloku prediktívneho regulátora pre riadenie vybraných technologických procesov. Návrh vhodných PID regulátorov pre riadenie vybraných technologických procesov. Porovnanie a zhodnotenie dosiahnutých simulačných výsledkov.

Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Restrictions by study
The table shows restrictions by study to which the student has to be enrolled in order to sign up for the given topic.

B-AIMCHP Automation, Information Engineering and Management in Chemistry and Food Industry

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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