Fuzzy Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems

Tian Wei-gang; Wang Yin-he; Li Yu-jiao

doi:10.3969/j.issn.1007-7162.2015.01.019

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Fuzzy Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems

更新时间：2026-05-27

- Fuzzy Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems
- Vol. 32, Issue 1, Pages: 91-97(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2015.01.019
  CLC：
- Online First：05 March 2015，
  
  Published：2015
- 稿件说明：
移动端阅览
田为刚, 王银河, 李玉姣. 一类非线性不确定系统的输出跟踪控制[J]. 广东工业大学学报, 2015, 32(1): 91-97.

Tian Wei-gang, Wang Yin-he, Li Yu-jiao. Fuzzy Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems[J]. 2015, 32(1): 91-97.
田为刚, 王银河, 李玉姣. 一类非线性不确定系统的输出跟踪控制[J]. 广东工业大学学报, 2015, 32(1): 91-97. DOI： 10.3969/j.issn.1007-7162.2015.01.019.

Tian Wei-gang, Wang Yin-he, Li Yu-jiao. Fuzzy Adaptive Output Tracking Control for a Class of Uncertain Nonlinear Systems[J]. 2015, 32(1): 91-97. DOI： 10.3969/j.issn.1007-7162.2015.01.019.

摘要

设计了一类不确定非线性系统模糊自适应输出跟踪控制器. 首先将一个时变参数引入到规则前件的高斯型隶属度函数中

形成一组带有时变参数的模糊规则

通过时变参数的变化改变高斯型隶属度函数的中心和宽度，进而改变原Mamdani型模糊逻辑系统的输出，形成新的带有时变参数的模糊逻辑系统. 然后以这种改造后的模糊逻辑系统逼近系统的未知非线性项，构造时变参数和逼近精度的自适应律，设计相应的自适应输出跟踪控制器. 这种方法的优越性在于充分利用原有的有限数目的模糊规则，合成具有较少自适应律的模糊自适应输出跟踪控制器. 最后，通过Duffing的仿真算例验证了本文提出方法的可行性和有效性.

Abstract

In this paper

a fuzzy adaptive output tracking controller is designed for a class of uncertain nonlinear systems to track a given sign. First

a time-varying parameter is introduced into the Gaussian membership functions of the rule antecedent

so that a new set of fuzzy rules with a time-varying parameter is given. This implies that the update motion of timevarying parameter changes not only the centers and widths of Gaussian membership functions

but also the output of the previous Mamdani fuzzy logic system

and thus a new fuzzy logic system with a timevarying parameter is synthesized. And then the modified fuzzy logic system can be used to approximate the unknown nonlinear term of the system

and the adaptive laws of timevarying parameter and the estimated values of the fuzzy approximate accuracy can be constructed

accordingly the fuzzy adaptive output tracking controller of the system can be synthesized. The advantage of the proposed method in this paper is that by the full use of existing limited number of fuzzy rules

the fuzzy adaptive output tracking controller can be synthesized with more fewer adaptive laws. Finally

the Duffing system′s simulation example demonstrates that the proposed method in this paper is feasible and effective.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Adaptive Fuzzy Control for a Class of Uncertain Linear Systems

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Multi-Scale Contrastive Embedding Enhanced Adaptive Intrusion Detection Model

Ground Deformation Monitoring and Influencing Factors Analysis in Fuzhou City Based on PSI Technology

Modeling of 3D NAND Memory Cells with Taper Angle and Programming Strategy Optimization

Related Author

Xie Yuan

Jin Chao-yong

Related Institution

No data

AI问答

⁰