Output Feedback Sliding Mode Control with Support Vector Machine Based Observer Gain Adaptation

被引：0
|
作者：
Tokat, S. [1 ]
Iplikci, S. [2 ]
Ulusoy, L. [2 ]
机构：
[1] Pamukkale Univ, Dept Comp Engn, TR-20070 Kinikli, Denizli, Turkey
[2] Pamukkale Univ, Elect & Elect Engn Dept, TR-20070 Kinikli, Turkey
来源：
PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING (CSECS'09) | 2009年
关键词：
Sliding mode control; Sliding mode observer; Output feedback sliding mode control; Support vector machine regression; Observer gain; NONLINEAR-SYSTEMS; NEURAL OBSERVER; DESIGN; STATE;
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, nonlinear second order systems with unmeasured system states and bounded external disturbances are considered. The observer gain of the sliding mode observer is adjusted by using a support vector machine based plant model. Computer simulations are presented to show the effect of the proposed adjustment mechanism on the performance of the output feedback sliding mode controller. It is shown that the trajectory tracking performance is improved with respect to a conventional output feedback sliding mode control scheme having constant sliding mode observer gains.
引用
收藏
页码：63 / +
页数：2
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