Advanced intelligent control systems
Basic information
Subject description
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
- 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
Teaching and learning methods
Lectures, tutorials, seminar.
Back to top
Stay up to date
University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana