Fuzzy Output Feedback Control via Sliding Mode Observer

被引：0
|
作者：
Yu, Wen [1 ]
Li, Xiaoou [2 ]
机构：
[1] CINVESTAV IPN, Dept Control Automat, Mexico City, DF, Mexico
[2] CINVESTAV IPN, Dept Computac, Mexico City, DF, Mexico
来源：
2016 IEEE 13TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL (ICNSC) | 2016年
关键词：
NEURAL-NETWORKS; SYSTEMS; 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：
This paper proposes a new output feedback method for a class of partial-state measurement nonlinear systems. Only input and output are available, the inner states and the structure are unknown. The design is based on the combination of the state observer with the fuzzy controller. As no any information of the nonlinear system can be used, the observer is model-free. A adaptive fuzzy controller can be used to control the nonlinear system based on the full observed states. By means of Lyapunov-like analysis we determine the stable learning algorithm for the observer-based fuzzy control.
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页数：6
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