Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/8442
Title: A runge-kutta model based adaptive predictive controller for nonlinear systems
Authors: İplikçi, Serdar
Keywords: Adaptive control
Model-based control
Nonlinear control
Optimal control
Predictive control
Adaptive Control
Non linear control
Optimal controls
Model predictive control
Nonlinear systems
Runge Kutta methods
State estimation
Predictive control systems
Abstract: The aim of this paper is to illustrate the application of the previously proposed [1] Runge-Kutta (RK) model based nonlinear model predictive control method to the Continuously Stirred Tank Reactor (CSTR) system. The method utilizes the so-called Runge-Kutta model of a continuous-time nonlinear system as an approximate discrete model and employes it in the Model Predictive Control (GPC) loop. In the proposed method, the RK model is not only used for control purposes, but also it is utilized for state estimation in the Extended Kalman Filter (EKF) framework and on-line parameter adaptation. The results show the effectiveness of the method in control, state estimation and parameter adaptation tasks. © 2012 IFAC.
URI: https://hdl.handle.net/11499/8442
https://doi.org/10.3182/20120823-5-NL-3013.00004
ISBN: 14746670 (ISSN)
9783902823076
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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