Adaptive Control for a Class of Nonlinear Systems  Based on Fuzzy Neural Networks Sliding Mode Controller

DA Fei  peng; SONG Wen  zhong

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Adaptive Control for a Class of Nonlinear Systems Based on Fuzzy Neural Networks Sliding Mode Controller

更新时间：2025-12-08

- Adaptive Control for a Class of Nonlinear Systems Based on Fuzzy Neural Networks Sliding Mode Controller
- Acta Electronica Sinica Issue 11, (1999)
- 作者机构：
  
  东南大学自动化所,南京,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273.2
- Published：1999
- 稿件说明：
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[1]达飞鹏,宋文忠.基于模糊神经网络滑模控制器的一类非线性系统自适应控制[J].电子学报,1999(11):118-120.

DA Fei peng, SONG Wen zhong. Adaptive Control for a Class of Nonlinear Systems Based on Fuzzy Neural Networks Sliding Mode Controller[J]. Acta Electronica Sinica, 1999, (11).
[1]达飞鹏,宋文忠.基于模糊神经网络滑模控制器的一类非线性系统自适应控制[J].电子学报,1999(11):118-120. DOI：

DA Fei peng, SONG Wen zhong. Adaptive Control for a Class of Nonlinear Systems Based on Fuzzy Neural Networks Sliding Mode Controller[J]. Acta Electronica Sinica, 1999, (11). DOI：

摘要

:本文研究了一类不确定性非线性系统的自适应控制.在模糊神经网络滑模控制器（FuzzyNeuralNetworksSlidingModeController）的基础上提出了一种设计方法

将FNNSMC与带死区的滑模控制器（SlidingModeControllerwithDeadZone）有机结合

通过平滑切换实现自适应控制.这种方法使系统不仅有好的鲁棒性而且能有效地消除高频颤动.同时由于实施了自适应控制策略

使得系统有很好的跟踪性能.仿真结果说明了本文所提方法的有效性

Abstract

Based on the Fuzzy Neural Networks Sliding Mode Controller （FNNSMC）

we present a direct adaptive control scheme for a class of nonlinear systems in the presence of disturbances and model uncertainties.The FNNSMC and the Sliding Mode Controller with Dead Zone （SMCDZ） are incorporated to achieve the adaptive control by the smooth transformation.This methodology enhances the system’s robustness and can eliminate the high frequency chattering efficiently.Since the adaptive control scheme is used

the system obtains good tracking behavior.The simulation results demonstrate the advantages of the scheme.

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