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两类B样条模糊系统及其应用
引用本文:谭彦华,李洪兴,许吉祥.两类B样条模糊系统及其应用[J].控制理论与应用,2011,28(11):1651-1657.
作者姓名:谭彦华  李洪兴  许吉祥
作者单位:1. 大连理工大学电子信息与电气工程学部,辽宁大连116024/河北工业大学理学院,天津300130
2. 大连理工大学电子信息与电气工程学部,辽宁大连,116024
3. 大连理工大学电子信息与电气工程学部,辽宁大连116024/辽宁石油化工大学理学院,辽宁抚顺113001
基金项目:国家自然科学基金资助项目(61074044, 61104038, 60834004); 高校博士点基金资助项目(20090041110003); 国家“863”高技术计划资助项目(2006AA04Z163); 国家“973”计划资助项目(2009CB320602, 2002CB312200).
摘    要:能够同时逼近函数及其导函数的模糊系统在应用中具有重要意义.本文利用B样条函数作为推理前件,得到了两类能够同时逼近函数及其导函数的B样条模糊系统.其中第一类B样条模糊系统是插值系统且对函数及其一阶导函数分别具有二阶和一阶逼近精度,第二类B样条模糊系统是拟插值系统且对函数及其一阶、二阶导函数均具有二阶逼近精度.最后,将这两类模糊系统应用到一级倒立摆的稳定控制中,仿真结果表明利用这两类模糊系统设计的控制器是可行的,且具有一定的鲁棒性.

关 键 词:B样条  模糊系统  逼近精度  模糊控制  泛逼近性
收稿时间:2010/7/13 0:00:00
修稿时间:1/3/2011 12:00:00 AM

Two classes of B-spline fuzzy systems and their applications
TAN Yan-hu,LI Hong-xing and XU Ji-xiang.Two classes of B-spline fuzzy systems and their applications[J].Control Theory & Applications,2011,28(11):1651-1657.
Authors:TAN Yan-hu  LI Hong-xing and XU Ji-xiang
Affiliation:Faculty of Electronics Information and Electrical Engineering, Dalian University of Technology; School of Sciences, Hebei University of Technology,Faculty of Electronics Information and Electrical Engineering, Dalian University of Technology,Faculty of Electronics Information and Electrical Engineering, Dalian University of Technology; School of Sciences, Liaoning Shihua University
Abstract:Fuzzy systems that approximate a given function and its derivatives play an important role in applications. Two classes of B-spline fuzzy systems that employ B-spline functions as the if-part sets are presented. They are universal approximators for a given function and its derivatives. Especially, the first class of B-spline fuzzy systems with the interpolation condition can approximate a function and its derivative respectively with the 2nd order accuracy and the 1st order accuracy in the approximation, The second class of B-spline fuzzy systems with the quasi-interpolation condition can approximate a function and its first and second derivatives with the 2nd order accuracy for all. Finally, a controller based on the two fuzzy systems is designed to realize the stability for a 1st order single inverted pendulum. The simulation results demonstrate the effectiveness and robustness of the controller based on the proposed fuzzy systems.
Keywords:B-spline  fuzzy systems  approximation accuracy  fuzzy control  universal approximation
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