期刊文献+

以正规多项式为基函数的标准模糊系统逼近误差公式证明 被引量:1

Formula proof of standard fuzzy systems with normal quartic polynomial membership functions as basic functions
原文传递
导出
摘要 为提高模糊系统的逼近精度及扩大基函数的选择范围,定义了论域的正规二次多项式模糊划分.在标准模糊系统的基础上,提出以正规二次多项式为基函数的一类模糊系统;通过采用数值分析中的余项与辅助函数方法,对该类模糊系统进行了逼近误差精度的理论分析,给出了从SISO到MISO的一阶和准二阶误差逼近精度公式;指出该系统逼近精度公式使用的约束条件及应注意的问题. The paper developed a normal quartic polynomial partition of fuzzy domain and established the standard fuzzy system with partition of normal quadratic polynomial membership functions to improve approximation precision of fuzzy system and extend the fuzzy basic functions. Based on above standard fuzzy system, approximation error formula were discussed by interpolation theory. A first order and approximative second universal approximation error bounds from SISO to MISO were given and their relations were founded. The paper employed error remainder term and auxiliary function in proving process while the used conditions and relative problems of these formula were pointed out in fuzzy systems theory and actual application.
作者 陈刚
出处 《大连海事大学学报》 EI CAS CSCD 北大核心 2007年第2期110-115,共6页 Journal of Dalian Maritime University
基金 中国博士后基金资助项目(CPSF/2005/037763) 辽宁省自然科学基金资助项目(20032144)
关键词 标准模糊系统 逼近误差公式 正规二次多项式模糊划分 模糊基函数 standard fuzzy systems approaching error formula normal quadratic polynomial fuzzy partition fuzzy basic functions
  • 相关文献

参考文献11

  • 1BUCKLEY J J.Universal fuzzy controllers[J].Automatica,1992,28(6):1245-1248.
  • 2BUCKLEY J J.Sugeno type controllers are universal controllers[J].Fuzzy Sets and Systems,1993,53(3):299-303.
  • 3WANG L X.Fuzzy systems are universal approximator[C]//San Diego:Proc IEEE Int Conf Fuzzy Syst,1992:1163-1170.
  • 4ZENG X J,SINGH M G.Approximation theory of fuzzy systems-SISO case[J].IEEE Trans Fuzzy Syst,1994,2(2):162-176.
  • 5ZENG X J,SINGH M G.Approximation theory of fuzzy systems-MIMO case[J].IEEE Trans Fuzzy Syst,1995,3(2):219-235.
  • 6ZENG X J,SINGH M G.Approximation accuracy analysis of fuzzy systems as function approximator[J].IEEE Trans Fuzzy Syst,1996,4(1):44-63.
  • 7ZENG X J,KEANE J.Approximation capabilities of hierarchical Fuzzy systems[J].IEEE Trans Fuzzy Syst,2005,13(5):659-672.
  • 8YING H.Sufficient conditions on general fuzzy systems as function approximators[J].Automatica,1994,30(3):521-525.
  • 9YING H.Necessary conditions for some typical fuzzy systems as function approximations[J].Automatica,1997,33(3):1333-1338.
  • 10WANG L X.Universal approximation by hierarchical fuzzy systems[J].Fuzzy Sets and Systems,1998,93:223-230.

同被引文献14

  • 1张艳,段朝阳,张平,陈宗基.基于动态逆的BTT导弹自动驾驶仪设计[J].北京航空航天大学学报,2007,33(4):422-426. 被引量:20
  • 2L A Zadeh. Fuzzy sets[J]. Information and control, 1965,8(2) : 338 -353.
  • 3易继锴,侯嫒彬编著.智能控制技术[M].北京:工业大学出版社,1999.
  • 4C K Lin, S D Wang. A self - organizing fuzzy control approach for bank - to - turn missiles [ J ]. Fuzzy Sets and Systems, vol. 96, 1998:281 - 306.
  • 5H J Uang, B S Chen. Robust adaptive optimal tracking design for uncertain missile system: a fuzzy approach [ J ]. Fuzzy Sets and Systems, 2002,126:63 - 87.
  • 6C K Lin. Mixed H2/H - infinity autopilot design of bank - to - turn missiles using fuzzy basis function networks [ J ]. Fuzzy Sets and Systems, 2007,158:2268 - 2287.
  • 7胡云安,张友安.导弹控制和制导的非线性设计方法[M].北京:国防工业出版社,2003.
  • 8孙琦,周军,呼卫军.大包络飞行BTT导弹多模鲁棒控制方法研究[J].计算机仿真,2010,27(9):97-101. 被引量:2
  • 9杨志峰,雷虎民,李庆良,李炯.基于RBF神经网络的导弹鲁棒动态逆控制[J].宇航学报,2010,31(10):2295-2301. 被引量:9
  • 10刘曙光,王志宏,费佩燕,王斌.模糊控制的发展与展望[J].机电工程,2000,17(1):9-12. 被引量:38

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部