Advanced intelligent control systems

Higher education teachers: Škrjanc Igor
Credits: 5
Subject code: 64840

Subject description


Finished programme recommended from natural scientist field.

Content (Syllabus outline):

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.

Objectives and competences:

  • 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.

Intended learning outcomes:

  • basic knowledge from intelligent control systems,
  • advanced approaches in modern control systems,
  • use of obtained knowledge at project work.

Learning and teaching methods:

  • lectures,
  • tutorials,
  • seminar.

Study materials

  1. O. Nelles. Nonlinear System Identification, Springer, 2000.
  2. G. Karer, I. Škrjanc, Predictive Approaches in Control of Complex Systems, Springer, 2013.
  3. I. Škrjanc, Inteligentne metode v identifikaciji sistemov, skripta v pripravi, 2014.