.png){kind=icon}
返回
Probabilistic fuzzy logic controller for uncertain nonlinear systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jfranklin.2017.12.015.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a probabilistic fuzzy proportional - integral (PFPI) controller for controlling uncertain nonlinear systems. Firstly, the probabilistic fuzzy logic system (PFLS) improves the capability of the ordinary fuzzy logic system (FLS) to overcome various uncertainties in the controlled dynamical systems by integrating the probability method into the fuzzy logic system. Moreover, the input/output relationship for the proposed PFPI controller is derived. The resulting structure is equivalent to nonlinear PI controller and the equivalent gains for the proposed PFPI controller are a nonlinear function of input variables. These gains are changed as the input variables changed. The sufficient conditions for the proposed PFPI controller, which achieve the bounded-input bounded-output (BIBO) stability are obtained based on the small gain theorem. Finally, the obtained results indicate that the PFPI controller is able to reduce the effect of the system uncertainties compared with the fuzzy PI (FPI) controller. (c) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
OUTPUT-FEEDBACK CONTROL
PID CONTROLLER
DESIGN
PERFORMANCE
ZADEH
SETS
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
J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
机构
引用论文
Design and implementation of a new fuzzy PID controller for networked control systems网络控制系统中一种新型模糊PID控制器的设计与实现.png)
ISA TRANSACTIONS
ISA TRANSACTIONSIF6.5
PREAI
分享收藏
查看更多内容