Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems

Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems

More serious chattering emerges in discrete systems of sliding mode control. The paper presents a sliding mode-like fuzzy logic control design, which eliminates the chattering, for a class of discrete nonlinear systems with multiple variables. First, the boundary layer is self-tuned on-line, and the...

Full description

Bibliographic Details
Main Author: Zhang Xiaoyu
Format: Article
Language:English
Published: De Gruyter 2016-04-01
Series:Journal of Intelligent Systems
Subjects:
sliding mode control
chattering free
fuzzy logic system
adaptive
Online Access:https://doi.org/10.1515/jisys-2015-0019
id doaj-160d9f005e024d0cb18a6002d26b27a7
record_format Article
spelling doaj-160d9f005e024d0cb18a6002d26b27a72021-09-06T19:40:36ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2016-04-0125220922010.1515/jisys-2015-0019Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear SystemsZhang Xiaoyu0North China Institute of Science and Technology, Department of Electronic and Information Engineering, Beijing, ChinaMore serious chattering emerges in discrete systems of sliding mode control. The paper presents a sliding mode-like fuzzy logic control design, which eliminates the chattering, for a class of discrete nonlinear systems with multiple variables. First, the boundary layer is self-tuned on-line, and then, the chattering free is obtained. Consequently, the fuzzy logic control (FLC) is designed to approximate the sliding mode control (SMC) with boundary layer self-tuning. Finally, the performance of the robustness, chattering free, and adaption are verified by the simulation results.https://doi.org/10.1515/jisys-2015-0019sliding mode controlchattering freefuzzy logic systemadaptive
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Xiaoyu
spellingShingle Zhang Xiaoyu
Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
Journal of Intelligent Systems
sliding mode control
chattering free
fuzzy logic system
adaptive
author_facet Zhang Xiaoyu
author_sort Zhang Xiaoyu
title Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
title_short Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
title_full Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
title_fullStr Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
title_full_unstemmed Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems
title_sort sliding mode-like fuzzy logic control with adaptive boundary layer for multiple-variable discrete nonlinear systems
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2016-04-01
description More serious chattering emerges in discrete systems of sliding mode control. The paper presents a sliding mode-like fuzzy logic control design, which eliminates the chattering, for a class of discrete nonlinear systems with multiple variables. First, the boundary layer is self-tuned on-line, and then, the chattering free is obtained. Consequently, the fuzzy logic control (FLC) is designed to approximate the sliding mode control (SMC) with boundary layer self-tuning. Finally, the performance of the robustness, chattering free, and adaption are verified by the simulation results.
topic sliding mode control
chattering free
fuzzy logic system
adaptive
url https://doi.org/10.1515/jisys-2015-0019
work_keys_str_mv AT zhangxiaoyu slidingmodelikefuzzylogiccontrolwithadaptiveboundarylayerformultiplevariablediscretenonlinearsystems
_version_ 1717768095695634432

Similar Items