Sep 17, 2019   10:26 a.m. Olympia
Academic information system

Summary of topics offered - Institute of Information Engineering, Automation and Mathematics (FCFT)


Basic information

Type of work: Diploma thesis
Topic: Generovanie explicitých zákonov riadenia pomocou metód strojového učenia
Title of topic in English: Machine Learning Approaches Applied to Generation of Explicit Control Laws
State of topic: approved (prof. Ing. Miroslav Fikar, DrSc. - Study programme supervisor)
Thesis supervisor: Ing. Martin Klaučo, PhD.
Faculty: Faculty of Chemical and Food Technology
Supervising department: Institute of Information Engineering, Automation and Mathematics - FCFT
Max. no. of students: 1
Academic year:2018/2019
Proposed by: Ing. Martin Klaučo, PhD.
Summary: The main aim of this thesis is to analyze the possibilities of generating optimal explicit control laws for linear systems subject to state, input and output constraints. The challenge is to use a machine learning approach, which can generate an explicit control law for higher order systems with large predictions horizons, which is not computationally tractable using standard approaches.



Limitations of the topic

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Limit to study programme
The table shows limitations of study programme, field, track the student has to be enrolled in to be able to register for a given topic.

ProgrammeTrackTrack
I-AICHP Automation and Information Engineering in Chemistry and Food Industry-- not entered -- -- not entered --

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

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