An adaptive state feedback controller based on SVR for nonlinear systems

被引：0
|
作者：
Ucak, Kemal [1 ]
Oke Gunel, Gulay [2 ]
机构：
[1] Mugla Sitki Kocman Univ, Dept Elect & Elect Engn, Mugla, Turkey
[2] Istanbul Tech Univ, Dept Control & Automat Engn, Istanbul, Turkey
来源：
2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT) | 2018年
关键词：
Adaptive control; Adaptive state feedback controller; STR based on SVR; SVR;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, generalized self-tuning regulator (STR) based on support vector regression (SVR) which was previously introduced is deployed to design a state feedback controller so as to control a nonlinear bioreactor system. The parameters of the state feedback controller used in the controller block are adjusted via SVR based parameter estimator and system model blocks. The performance evaluation of the controller has been examined by simulations carried out on a nonlinear bioreactor system.
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页数：5
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