Seminar: Intelligent Control

Higher education teachers: Mušič Gašper

Subject description

Prerequisits:

• Enrolment in the 2nd cycle masters study programme.

Content (Syllabus outline):

Autonomous project work in various application domains of intelligent control:

• Modern methods of modelling, simulation and identification for control.
• Control of complex systems. Complex multivariable control design methods, hierarchical approaches, internal model control, individual channel design, and pole placement.
• Adaptive control. Basic principles of adaptive control systems, adaptive controllers, self-tuning controllers, gain scheduling, parameter adaptive control systems and model reference adaptive control systems.
• Predictive control. Major principles and methods of predictive control.
• Nonlinear model based control. Controller design for nonlinear systems control. Fuzzy model based predictive control. Fuzzy adaptive control.
• Production planning and control. Artificial intelligence methods, heuristics and multi-agent systems in planning and scheduling.

Objectives and competences:

Seminar comprises professional courses knowledge of the studying programme and directs students toward autonomous project work.

Intended learning outcomes:

• Capacity of autonomous design of systems and control.
• Application of professional knowledge in practical implementation of intelligent control systems.
• Knowledge of project work and understanding of automation and process control projects’ dynamics.

Learning and teaching methods:

Supervised project work, public presentation of project results.

Study materials

1. R. Isermann, Adaptive Control Systems, 1991.
2. K. J. Astrom, B. Wittenmark, Adaptive control, Second edition, Addison-Wesley, 1995.
3. E. F. Camacho, C. Bordons, Model predictive control, Second edition, Springer, 2007.
4. J. M. Maciejowski, Predictive control with constraints, Prentice Hall, 2001.
5. M. L. Pinedo, Planning and Scheduling in Manufacturing and Services, Second edition, Springer, 2009.