Control by Artificial Intelligence

Garant předmětu:

Lecturer:

Tutor:

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:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: