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机构地区:[1]Department of Mathmetics and Physics, Liaoning Institute of Technology, Jinzhou 121001 [2]Automation Research Center of Northeastern university, Shenyang 110004
出 处:《自动化学报》2005年第2期255-261,共7页Acta Automatica Sinica
基 金:Supported by National Natural Science Foundation of P. R. China (60274019)National Key Basic Research and Development Program of P. R. China (2002CB312200)
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 de-activated. 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.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 de-activated. 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.
关 键 词:非线性系统 间接 自适应 模糊输出 反馈监督控制
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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