Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints
This article investigates an adaptive neural network (NN) control algorithm for marine surface vessels with time-varying output constraints and unknown external disturbances. The nonlinear state-dependent transformation (NSDT) is introduced to eliminate the feasibility conditions of virtual controll...
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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/10.1155/2020/6641758 |
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| _version_ | 1832568541520330752 |
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| author | Wei Zhao Li Tang Yan-Jun Liu |
| author_facet | Wei Zhao Li Tang Yan-Jun Liu |
| author_sort | Wei Zhao |
| collection | DOAJ |
| description | This article investigates an adaptive neural network (NN) control algorithm for marine surface vessels with time-varying output constraints and unknown external disturbances. The nonlinear state-dependent transformation (NSDT) is introduced to eliminate the feasibility conditions of virtual controller. Moreover, the barrier Lyapunov function (BLF) is used to achieve time-varying output constraints. As an important approximation tool, the NN is employed to approximate uncertain and continuous functions. Subsequently, the disturbance observer is structured to observe time-varying constraints and unknown external disturbances. The novel strategy can guarantee that all signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the benefit of the proposed method. |
| format | Article |
| id | doaj-art-fc826d56056e49c78eb90550c045d599 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-fc826d56056e49c78eb90550c045d5992025-02-03T00:58:51ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/66417586641758Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output ConstraintsWei Zhao0Li Tang1Yan-Jun Liu2School of Electrical Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaCollege of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaCollege of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaThis article investigates an adaptive neural network (NN) control algorithm for marine surface vessels with time-varying output constraints and unknown external disturbances. The nonlinear state-dependent transformation (NSDT) is introduced to eliminate the feasibility conditions of virtual controller. Moreover, the barrier Lyapunov function (BLF) is used to achieve time-varying output constraints. As an important approximation tool, the NN is employed to approximate uncertain and continuous functions. Subsequently, the disturbance observer is structured to observe time-varying constraints and unknown external disturbances. The novel strategy can guarantee that all signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the benefit of the proposed method.http://dx.doi.org/10.1155/2020/6641758 |
| spellingShingle | Wei Zhao Li Tang Yan-Jun Liu Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints Complexity |
| title | Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints |
| title_full | Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints |
| title_fullStr | Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints |
| title_full_unstemmed | Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints |
| title_short | Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints |
| title_sort | disturbance observer based adaptive neural network control of marine vessel systems with time varying output constraints |
| url | http://dx.doi.org/10.1155/2020/6641758 |
| work_keys_str_mv | AT weizhao disturbanceobserverbasedadaptiveneuralnetworkcontrolofmarinevesselsystemswithtimevaryingoutputconstraints AT litang disturbanceobserverbasedadaptiveneuralnetworkcontrolofmarinevesselsystemswithtimevaryingoutputconstraints AT yanjunliu disturbanceobserverbasedadaptiveneuralnetworkcontrolofmarinevesselsystemswithtimevaryingoutputconstraints |