Kontaktujte nás | Jazyk: čeština English
Název: | Self-tuning predictive control of nonlinear systems |
Autor: | Chalupa, Petr; Bobál, Vladimír; Novák, Jakub |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control. 2007, p. 152-157 |
ISBN: | 978-0-88986-633-1 |
Abstrakt: | This paper investigates usability of model predictive control (MPC) approach in the area of control of nonlinear systems. A self-tuning predictive controller is introduced and investigated. The controller integrates online identification of an ARX model of a controlled system and a predictive control synthesis on base of the identified model. Various control requirements can be fulfilled by tuning controller's parameters. Both simulation and real-time testing have been performed and are discussed in the paper. The simulation testing was performed in the MATLAB / Simulink environment while the real-time testing has been carried out by the control of nonlinear laboratory models. |
Plný text: | https://www.actapress.com/Abstract.aspx?paperId=29555 |
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