| 非线性系统的间接自适应模糊输出反馈监督控制 |
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| 引用本文： | 佟绍成,柴天佑.非线性系统的间接自适应模糊输出反馈监督控制[J].自动化学报,2005,31(2):255-261. |
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| 作者姓名： | 佟绍成 柴天佑 |
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| 作者单位： | 1.Department of Mathmetics and Physics, Liaoning Institute of Technology, Jinzhou 121001 |
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| 摘 要： | In this paper, an indirect adaptive fuzzy output feedback controller with supervisory mode for a class of unknown nonlinear systems is developed. The proposed approach does not need the availability of the state variables, moreover, a supervisory controller is appended to the adaptive fuzzy controller to force the state to be within the constraint set. Therefore, if the adaptive fuzzy controller cannot maintain the stability, the supervisory controller starts to work to guarantee stability. On the other hand, if the adaptive fuzzy controller works well, the supervisory controller will be deactivated. The overall adaptive fuzzy control scheme guarantees the stability of the whole closed-loop systems. The simulation results confirm the effectiveness of the proposed method.
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| 关 键 词： | Nonlinear systems adaptive fuzzy supervisory control observer stability analysis |
| 收稿时间： | 2003-2-15 |
| 修稿时间： | 2004-6-14 |
Indirect Adaptive Fuzzy Output Feedback Control with Supervisory Controller for Uncertain Nonlinear Systems |
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| TONG Shao-cheng,CHAI Tian-You.Indirect Adaptive Fuzzy Output Feedback Control with Supervisory Controller for Uncertain Nonlinear Systems[J].Acta Automatica Sinica,2005,31(2):255-261. |
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| Authors: | TONG Shao-cheng CHAI Tian-You |
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| Affiliation: | 1. Department of Mathmetics and Physics, Liaoning Institute of Technology, Jinzhou 121001 |
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| Abstract: | In this paper, an indirect adaptive fuzzy output feedback controller with supervisory mode for a class of unknown nonlinear systems is developed. The proposed approach does not need the availability of the state variables, moreover, a supervisory controller is appended to the adaptive fuzzy controller to force the state to be within the constraint set. Therefore, if the adaptive fuzzy controller cannot maintain the stability, the supervisory controller starts to work to guarantee stability. On the other hand, if the adaptive fuzzy controller works well, the supervisory controller will be deactivated. The overall adaptive fuzzy control scheme guarantees the stability of the whole closed-loop systems. The simulation results confirm the effectiveness of the proposed method. |
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| Keywords: | Nonlinear systems adaptive fuzzy supervisory control observer stability analysis |
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