Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System
An adaptive control based on a new Multiscale Chebyshev Neural Network (MSCNN) identification is proposed for the backlash-like hysteresis nonlinearity system in this paper. Firstly, a MSCNN is introduced to approximate the backlash-like nonlinearity of the system, and then, the Lyapunov theorem ass...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1872493 |
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| _version_ | 1849473313220329472 |
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| author | Xuehui Gao Ruiguo Liu |
| author_facet | Xuehui Gao Ruiguo Liu |
| author_sort | Xuehui Gao |
| collection | DOAJ |
| description | An adaptive control based on a new Multiscale Chebyshev Neural Network (MSCNN) identification is proposed for the backlash-like hysteresis nonlinearity system in this paper. Firstly, a MSCNN is introduced to approximate the backlash-like nonlinearity of the system, and then, the Lyapunov theorem assures the identification approach is effective. Afterward, to simplify the control design, tracking error is transformed into a scalar error with Laplace transformation. Therefore, an adaptive control strategy based on the transformed scalar error is proposed, and all the signals of the closed-loop system are uniformly ultimately bounded (UUB). Finally, simulation results have demonstrated the performance of the proposed control scheme. |
| format | Article |
| id | doaj-art-c7c9be614814417c829ef5f3d0cf0ffa |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c7c9be614814417c829ef5f3d0cf0ffa2025-08-20T03:24:10ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/18724931872493Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis SystemXuehui Gao0Ruiguo Liu1Department 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, ChinaAn adaptive control based on a new Multiscale Chebyshev Neural Network (MSCNN) identification is proposed for the backlash-like hysteresis nonlinearity system in this paper. Firstly, a MSCNN is introduced to approximate the backlash-like nonlinearity of the system, and then, the Lyapunov theorem assures the identification approach is effective. Afterward, to simplify the control design, tracking error is transformed into a scalar error with Laplace transformation. Therefore, an adaptive control strategy based on the transformed scalar error is proposed, and all the signals of the closed-loop system are uniformly ultimately bounded (UUB). Finally, simulation results have demonstrated the performance of the proposed control scheme.http://dx.doi.org/10.1155/2018/1872493 |
| spellingShingle | Xuehui Gao Ruiguo Liu Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System Complexity |
| title | Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System |
| title_full | Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System |
| title_fullStr | Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System |
| title_full_unstemmed | Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System |
| title_short | Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System |
| title_sort | multiscale chebyshev neural network identification and adaptive control for backlash like hysteresis system |
| url | http://dx.doi.org/10.1155/2018/1872493 |
| work_keys_str_mv | AT xuehuigao multiscalechebyshevneuralnetworkidentificationandadaptivecontrolforbacklashlikehysteresissystem AT ruiguoliu multiscalechebyshevneuralnetworkidentificationandadaptivecontrolforbacklashlikehysteresissystem |