.png){kind=icon}
返回
Direct adaptive fuzzy control with a self-structuring algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.fss.2007.09.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a direct self-structuring adaptive fuzzy control (DSAFC) scheme for affine nonlinear single-input-single-output systems. We show that the only restriction on the control gain is that it be positive. No upper bound on this gain nor its derivative needs to be known. From an initial fuzzy system with a small number of rules, the self-structuring algorithm adds membership functions and rules when needed. To limit the size of the fuzzy system from growing indefinitely, the self-structuring algorithm replaces old membership functions by new ones instead of adding more membership functions so that the number of rules never exceeds a predefined upper bound. The stability of the closed loop system is guaranteed using the Lyapunov synthesys approach. The proposed control scheme is demonstrated by application to an inverted pendulum and a magnetic levitation system. Crown Copyright (C) 2007 Published by Elsevier B.V. All rights reserved.
Keyword:
adaptive fuzzy control
affine nonlinear system
neuro-fuzzy system
self-structuring fuzzy system
less restrictions on the control gain
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.7
论文数:
7.6K
被引数:
1.6W
机构
引用论文
Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems一类MIMO非线性系统的在线自适应模糊神经辨识与控制
PREAI
分享收藏A 8.75-MBaud single-chip digital QAM modulator with frequency-agility and beamforming diversity
PREAI
分享收藏Roles of Glutathione in Mediating Abscisic Acid Signaling and Its Regulation of Seed Dormancy and Drought Tolerance.png)
Genes
OAAI
GenesIF0
OAAI分享收藏Gender differences in cognition in China and reasons for change over time: Evidence from CHARLS中国认知的性别差异及其随时间变化的原因: 来自CHARLS的证据
OAAI
OAAI分享收藏
查看更多内容