Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model

Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model

A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that ca...

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Main Authors: Ruiguo Liu, Xuehui Gao
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/4949265
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spelling doaj-a057637e14d3492e909385e0cebc2d252020-11-24T22:12:26ZengHindawi-WileyComplexity1076-27871099-05262019-01-01201910.1155/2019/49492654949265Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like ModelRuiguo Liu0Xuehui Gao1Department of Mechanical and Electrical Engineering, Shandong University of Science and Technology, Tai’an 271019, ChinaDepartment of Mechanical and Electrical Engineering, Shandong University of Science and Technology, Tai’an 271019, ChinaA new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.http://dx.doi.org/10.1155/2019/4949265
collection DOAJ
language English
format Article
sources DOAJ
author Ruiguo Liu
Xuehui Gao
spellingShingle Ruiguo Liu
Xuehui Gao
Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
Complexity
author_facet Ruiguo Liu
Xuehui Gao
author_sort Ruiguo Liu
title Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
title_short Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
title_full Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
title_fullStr Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
title_full_unstemmed Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
title_sort neural network identification and sliding mode control for hysteresis nonlinear system with backlash-like model
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2019-01-01
description A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.
url http://dx.doi.org/10.1155/2019/4949265
work_keys_str_mv AT ruiguoliu neuralnetworkidentificationandslidingmodecontrolforhysteresisnonlinearsystemwithbacklashlikemodel
AT xuehuigao neuralnetworkidentificationandslidingmodecontrolforhysteresisnonlinearsystemwithbacklashlikemodel
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