引用本文: | 王银河, 戴冠中.一类非线性不确定系统的模糊自适应控制[J].控制理论与应用,2004,21(2):271~274.[点击复制] |
WANG Yin-he, DAI Guan-zhong.Adaptive fuzzy control for a class of nonlinear uncertain systems[J].Control Theory and Technology,2004,21(2):271~274.[点击复制] |
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一类非线性不确定系统的模糊自适应控制 |
Adaptive fuzzy control for a class of nonlinear uncertain systems |
摘要点击 1680 全文点击 1026 投稿时间:2001-06-20 修订日期:2003-02-26 |
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DOI编号 10.7641/j.issn.1000-8152.2004.2.024 |
2004,21(2):271-274 |
中文关键词 不确定性 模糊逻辑系统 自适应律 一致终极有界 |
英文关键词 uncertainty fuzzy logic system adaptive control uniformly ultimately bounded (UUB) |
基金项目 国家重点基础研究发展规划项目(G1998030471); 汕头大学科学研究专项经费项目; 广东省自然科学基金项目(032035); 内蒙古自然科学基金项目(200208020201). |
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中文摘要 |
利用模糊逻辑系统具有逼近连续函数的性质,研究了一类非线性不确定系统的自适应模糊控制问题.控制器和自适应律的构成直接利用了系统的结构信息和模糊逻辑系统的输出信息,在较弱的假设条件下,这种控制器使被控系统的状态及参数估计误差一致终极有界.最后的仿真算例说明了本文所采用方法的有效性. |
英文摘要 |
By employing fuzzy logic system with the property of approximating any continuous function with arbitrary, the adaptive laws and controllers are synthesized for a class of nonlinear systems with uncertainties, the bounded functions of which are unknown. The architecture of laws and controllers depends directly on the information from the construction of the nominal systems of systems controlled and the fuzzy logic system. Under some simple conditions, the laws and controllers make the states of systems controlled and parameter estimate errors uniformly ultimately bounded (UUB). Finally, the simulation shows the validity of the method in this paper. |