Course 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.
Course is carried out on study programme
2nd Cycle Postgraduate Study Programme in Electrical Engineering
Objectives and competences
Seminar comprises professional courses knowledge of the studying programme and directs students toward autonomous project work.
Learning and teaching methods
Lectures and supervised project work.
Intended learning outcomes
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.
Reference nosilca
- GRADIŠAR, Dejan, GLAVAN, Miha, STRMČNIK, Stanko, MUŠIČ, Gašper. ProOpter: an advanced platform for production analysis and optimization. Computers in industry, ISSN 0166-3615, jun. 2015, vol. 70, str. 102-115,
- MUŠIČ, Gašper, NAPALKOVA, Liana, PIERA, Miquel Àngel. Performance evaluation of flexible manufacturing systems by coloured timed Petri nets and timed state space generation. V: CAMPOS, Javier (ur.), SEATZU, Carla (ur.), XIE, Xiaolan (ur.). Formal methods in manufacturing, (Industrial information technology series). Boca Raton; London; New York: CRC Press, cop. 2014, str. 381-408.
- GLAVAN, Miha, GRADIŠAR, Dejan, STRMČNIK, Stanko, MUŠIČ, Gašper. Production modelling for holistic production control. Simulation modelling practice and theory, ISSN 1569-190X, jan. 2013, vol. 30, str. 1-20.
- KLANČAR, Gregor, BLAŽIČ, Sašo, MATKO, Drago, MUŠIČ, Gašper. Image-based attitude control of a remote sensing satellite. Journal of intelligent & robotic systems, ISSN 0921-0296, 2012, vol. 66, no. 3, str. 343-357.
- MUŠIČ, Gašper, MATKO, Drago. An admissible-behaviour-based analysis of the deadlock in Petri-net controllers. Simulation modelling practice and theory, ISSN 1569-190X, Vol. 16, iss. 8 (Sep. 2008), Elsevier, 2008, str. 1077-1090.
Study materials
- 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.