Advanced intelligent control systems

Osnovni podatki

Nosilec: Igor Škrjanc

Vrsta predmeta: izbirni

Število kreditnih točk: 5

Koda predmeta: 64840

Opis predmeta

Introduction to intelligent systems. Basic principles of fuzzy and neural systems in control. Basic principles of adaptive systems: direct and indirect approaches, self-tuning controllers, gain-scheduling controlles. Basic principles and methods of predictive control. Fuzzy model based predictive and adaptive control. Examples of intelligent control in advanced technological processes.

Cilji

  • to present the problems of intelligent control systems
  • to present the methods of predictive and adaptive control
  • to present the implementation problems of advanced control systems
  • to present the tools for design of advanced control systems

Metode poučevanja in učenja

Lectures, tutorials, seminar.

Na vrh

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411