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https://hdl.handle.net/11499/8151
Title: | Runge-Kutta model-based adaptive predictive control mechanism for non-linear processes | Authors: | Iplikçi, Serdar | Keywords: | Extended Kalman filter non-linear model predictive control optimal control parameter estimation Adaptive predictive control Continuous-time Discrete models Generalized predictive control Nonlinear model predictive control Nonlinear process Online parameter adaptation Optimal controls Extended Kalman filters Model predictive control Nonlinear systems Parameter estimation Runge Kutta methods Predictive control systems |
Abstract: | This paper proposes a novel non-linear model predictive control mechanism for non-linear systems. The idea behind the mechanism is that the so-called Runge-Kutta model of a continuous-time non-linear system can be regarded as an approximate discrete model and employed in a generalized predictive control loop for prediction and derivative calculation purposes. Additionally, the Runge-Kutta model of the system is used for state estimation in the extended Kalman filter framework and online parameter adaptation. The proposed method has been tested on two different non-linear systems. Simulation results have revealed the effectiveness of the proposed method for different cases. © 2012 The Author(s). | URI: | https://hdl.handle.net/11499/8151 https://doi.org/10.1177/0142331212438910 |
ISSN: | 0142-3312 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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