DocumentCode :
727545
Title :
Advanced complex dynamics process control
Author :
Ciganek, J. ; Kozak, S. ; Noge, F. ; Dietze, F.
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Slovak Univ. of Technol. in Bratislava, Bratislava, Slovakia
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
119
Lastpage :
124
Abstract :
In recent years, new control approaches have emerged to replace or augment conventional control engineering methods. The paper presents design, verification and comparison of two advanced methods (IMC, MPC) applied in the control of dynamic processes with complex dynamics. Development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. The presented methods guarantee robust stability and high performance of manipulator control.
Keywords :
manipulators; optimal control; predictive control; robust control; IMC; MPC; complex dynamics process control; internal model control; manipulator control; model predictive control; robust stability; Computational modeling; Control systems; Heuristic algorithms; Mathematical model; Prediction algorithms; Process control; Transfer functions; IMC; MPC; closed loop; control system; factorization; filter; mechatronic system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Process Control (PC), 2015 20th International Conference on
Conference_Location :
Strbske Pleso
Type :
conf
DOI :
10.1109/PC.2015.7169948
Filename :
7169948
Link To Document :
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