Subject description
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.
The subject is taught in programs
Objectives and competences
Seminar comprises professional courses knowledge of the studying programme and directs students toward autonomous project work.
Teaching and learning methods
Lectures and supervised project work.
Expected study results
After successful completion of the course, students should be able to:
- identify key challenges of a given project and related control problem,
- analyze dynamic system behaviour and/or related input/output data,
- find suitable method for solving control problem with respect to given requirements and system specifics,
- design control systems with advanced techniques and methods of computational intelligence,
- evaluate project results,
- present project results with computer presentation and written report.
Basic sources and literature
- R. Isermann, Adaptive Control Systems, 199
- K. J. Astrom, B. Wittenmark, Adaptive control, Second edition, Addison-Wesley, 1995.
- E. F. Camacho, C. Bordons, Model predictive control, Second edition, Springer, 2007.
- J. M. Maciejowski, Predictive control with constraints, Prentice Hall, 2001.
- M. L. Pinedo, Planning and Scheduling in Manufacturing and Services, Second edition, Springer, 2009.
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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana