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On-line Parameter Tuning of Model Predictive Control
- 1.0363300 - ÚTIA 2012 RIV IT eng C - Conference Paper (international conference)
Belda, Květoslav
On-line Parameter Tuning of Model Predictive Control.
Proceedings of the 18th IFAC World Congress. Milano: IFAC - International Fedaration of Automatic Control, 2011 - (Bittanti; Cenedese; Zampieri), s. 5489-5494. ISBN 978-3-902661-93-7.
[18th IFAC World Congress. Milano (IT), 28.08.2011-02.09.2011]
R&D Projects: GA ČR(CZ) GAP102/11/0437
Institutional research plan: CEZ:AV0Z10750506
Keywords : Model Predictive Control * Parameter Tuning * LQ Control * Probality Calculus
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2011/AS/belda-on-line parameter tuning of model predictive control.pdf
Model Predictive Control is a powerful control approach suitable for industrial applications due to its simplicity and flexibility. The aim of the paper is to introduce principal points for on-line tuning and automatic set-up of predictive control parameters. A proposed way of the tuning arises from the fact that in all control tasks, there is a certain degree of uncertainty with respect to the controlled system including its neighborhood. The strategy takes advantage of an analogy of the discrete Predictive Control and Linear Quadratic Control (LQ Control) connected with the probability calculus. The parameter tuning is demonstrated on multidimensional robotic system.
Permanent Link: http://hdl.handle.net/11104/0199279
Number of the records: 1