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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Control by Artificial Intelligence

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Code Completion Credits Range
W31OZ008 ZK 26P+52C
Garant předmětu:
Ivo Bukovský, Michael Valášek
Lecturer:
Václav Bauma, Ivo Bukovský, Zbyněk Šika, Michael Valášek
Tutor:
Václav Bauma, Ivo Bukovský, Zbyněk Šika, Michael Valášek
Supervisor:
Department of Mechanics, Biomechanics and Mechatronics
Synopsis:

The student will be acquainted with the methods of control of mechanical systems by means of artificial intelligence.

•Artificial intelligence. History, definition.

•Control by rule-based system. Production system, state space search.

•Lyapunov stability.

•Fuzzy sets, language variables, solution of the principle of extensionality.

•Fuzzy control.

•Neuron and its model, types of neural networks and their learning.

•Linear and nonlinear neuron.

•Generalization of learning.

•Functions with radial base

•Control by neural network.

•LOLIMOT

•Genetic algorithms

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

•Kevin Warwick: Artificial Intelligence: The Basics, Springer 2011

•Kosko, B.: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice Hall 1994

•Aggarwal, C.C.: Neural Networks and Deep Learning, Springer 2018

•Štefan, M.; Šika, Z.; Valášek, M.; Bauma, V.: Neuro-Fuzzy Identification of Nonlinear Dynamic MIMO Systems

•Inženýrská mechanika. 2006, 13(3), pp. 223-238.

•odkaz: https://moodle-vyuka.cvut.cz/

Note:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-04-18
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6688806.html