Design and stability analysis of adaptive-fuzzy controllers for a class of nonlinear systems

被引：0
|
作者：
Commuri, S
Lewis, FL
机构：
来源：
PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 | 1996年
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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 presents a methodology for the design of Fuzzy Logic Controllers (FLC) that guarantees prescribed performance for a class of nonlinear systems. It is shown that the proposed online learning algorithm learns the stabilizing Membership Functions (MFs) online from initial MFs that are selected using simple design criteria.
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页码：2729 / 2730
页数：2
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