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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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