Control by Artificial Intelligence
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 2022/2023:
- Time-table is not available yet
- Time-table for summer semester 2022/2023:
- Time-table is not available yet
- The course is a part of the following study plans: