Advanced intelligent control systems

Higher education teachers: Škrjanc Igor

Subject description

Prerequisits:

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.