Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers
This paper provides a disturbance observer-based prescribed performance control method for uncertain strict-feedback systems. To guarantee that the tracking error meets a design prescribed performance boundary (PPB) condition, an improved prescribed performance function is introduced. And radial bas...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8835512 |
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| _version_ | 1832560107275157504 |
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| author | Wei Xiang Guangkui Xu Fang Zhu Chunzhi Yang |
| author_facet | Wei Xiang Guangkui Xu Fang Zhu Chunzhi Yang |
| author_sort | Wei Xiang |
| collection | DOAJ |
| description | This paper provides a disturbance observer-based prescribed performance control method for uncertain strict-feedback systems. To guarantee that the tracking error meets a design prescribed performance boundary (PPB) condition, an improved prescribed performance function is introduced. And radial basis function neural networks (RBFNNs) are used to approximate nonlinear functions, while second-order filters are employed to eliminate the “explosion-complexity” problem inherent in the existing method. Meanwhile, disturbance observers are constructed to estimate the compounded disturbance which includes time-varying disturbances and network construction errors. The stability of the whole closed-loop system is guaranteed via Lyapunov theory. Finally, comparative simulation results confirm that the proposed control method can achieve better tracking performance. |
| format | Article |
| id | doaj-art-55c0a32e0c8f4eb194ef0c5f27430e09 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-55c0a32e0c8f4eb194ef0c5f27430e092025-02-03T01:28:18ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88355128835512Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance ObserversWei Xiang0Guangkui Xu1Fang Zhu2Chunzhi Yang3Department of Applied Mathematics, Huainan Normal University, Huainan 232038, ChinaDepartment of Applied Mathematics, Huainan Normal University, Huainan 232038, ChinaDepartment of Applied Mathematics, Huainan Normal University, Huainan 232038, ChinaDepartment of Applied Mathematics, Huainan Normal University, Huainan 232038, ChinaThis paper provides a disturbance observer-based prescribed performance control method for uncertain strict-feedback systems. To guarantee that the tracking error meets a design prescribed performance boundary (PPB) condition, an improved prescribed performance function is introduced. And radial basis function neural networks (RBFNNs) are used to approximate nonlinear functions, while second-order filters are employed to eliminate the “explosion-complexity” problem inherent in the existing method. Meanwhile, disturbance observers are constructed to estimate the compounded disturbance which includes time-varying disturbances and network construction errors. The stability of the whole closed-loop system is guaranteed via Lyapunov theory. Finally, comparative simulation results confirm that the proposed control method can achieve better tracking performance.http://dx.doi.org/10.1155/2020/8835512 |
| spellingShingle | Wei Xiang Guangkui Xu Fang Zhu Chunzhi Yang Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers Complexity |
| title | Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers |
| title_full | Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers |
| title_fullStr | Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers |
| title_full_unstemmed | Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers |
| title_short | Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers |
| title_sort | prescribed performance neural control of strict feedback systems via disturbance observers |
| url | http://dx.doi.org/10.1155/2020/8835512 |
| work_keys_str_mv | AT weixiang prescribedperformanceneuralcontrolofstrictfeedbacksystemsviadisturbanceobservers AT guangkuixu prescribedperformanceneuralcontrolofstrictfeedbacksystemsviadisturbanceobservers AT fangzhu prescribedperformanceneuralcontrolofstrictfeedbacksystemsviadisturbanceobservers AT chunzhiyang prescribedperformanceneuralcontrolofstrictfeedbacksystemsviadisturbanceobservers |