期刊文献+

广义模糊双曲正切模型及其逼近性研究 被引量:5

Generalized Fuzzy Hyperbolic Model: a Universal Approximator
在线阅读 下载PDF
导出
摘要 提出一种广义模糊双曲正切模糊模型(GFHM),此模型可以看做是模糊双曲正切模型的扩展·采用广义变量的双曲正切函数和的形式表达了模糊化、模糊推理和反模糊化的运算过程·并采用Stone Weierstrass定理证明了此模型可以逼近定义在紧集上的任意连续实函数,具有全局逼近性,可以用于复杂系统的建模· A generalized fuzzyhyperbolic model (GFHM) was proposed. The model is a generalization of fuzzy hyperbolic model. The process of fuzziness, fuzzy inference and defuzziness can be expressed in the sum of hyperbolic functions of generalization state variables. StoneWeierstrass theorem was used to prove that GFHM can approximate any real continuous functions on a compact sets. GFHM is a universal approximator, and can be used to establish the model for complex system.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2003年第1期1-3,共3页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(60274017) 教育部高等学校博士学科点专项科研基金资助项目(2001045023).
关键词 广义模糊双曲正切模型 逼近性 广义变量 模糊模型 全局逼近器 紧集 双曲正切函数 GFHM 模糊规则 generalization state variables fuzzy model modeling universal approximator compact sets nonlinear hyperbolic function
  • 相关文献

参考文献9

  • 1Zhang H G, Quan Y B. Modeling, identification and control of aclass of non-linear system[J]. IEEE Trans on Fuzzy System, 2001,9(2):349-354.
  • 2Wang L X, Mendel M. Fuzzy basis functions, universal approximation, and orthogonalleast-squares learning[J]. IEEE Trans on Neural Networks, 1992,3(5):807-814.
  • 3曾珂,张乃尧,徐文立.线性T-S模糊系统作为通用逼近器的充分条件[J].自动化学报,2001,27(5):606-612. 被引量:20
  • 4Rudin W. Principles of mathematical analysis[M]. New York: McGraw-Hill, Inc,1976.90-93.
  • 5Sugeno M, Kang G T. Structure identification of fuzzy model[J]. Fuzzy Sets andSystems, 1988,28:15-33.
  • 6Vidyasagar M. Nonlinear system analysis[M]. Englewood Cliffs, NJ:Prentice-Hall,1993.30-35.
  • 7Wang L X. Adaptive fuzzy systems and control:Design and stability analysis[M].Englewood Cliffs,NJ:Prentice-Hall, 1994.65-70.
  • 8Narendra K S, Partharath K. Identification and control of dynamical systems usingneural network[J]. IEEE Trans On SMC, 1990,20(1)4-27.
  • 9王振雷,顾树生.基于实值遗传算法的模糊神经网络辨识器[J].东北大学学报(自然科学版),2000,21(4):354-356. 被引量:5

二级参考文献7

共引文献23

同被引文献51

  • 1张化光,王智良,黎明,全永兵,张明君.广义模糊双曲正切模型:一个万能逼近器[J].自动化学报,2004,30(3):416-422. 被引量:19
  • 2张明君,张化光.一种鲁棒直接自适应模糊控制算法[J].东北大学学报(自然科学版),2006,27(1):5-8. 被引量:8
  • 3张化光.模糊辨识与复杂系统的模糊自适应控制[M].沈阳;东北大学出版社,1993:50-75.
  • 4Bikdash M.A highly interpretable form of Sugeno inference systems[J].IEEE Trans Fuzzy Syst,1999,7 (6):686-696.
  • 5Landajo M,Rio M J,Perez R.A note on smooth approximation capabilities of fuzzy systems[J].IEEE Trans Fuzzy Syst,2001,9 (2):229-237.
  • 6Wang S T,Chung F L,Shen H B,et al.Cascaded centralized TSK fuzzy systems,Universal approximator and high interpretation[J].Applied Soft Computing,2005,5:131-145.
  • 7张天平,冯纯伯.一类非线性系统的自适应模糊滑模控制[J].自动化学报,1997,23(3):361-369. 被引量:49
  • 8Wang L X. Stable adaptive fuzzy control of nonlinear systems[J ]. IEEE Trans on Fuzzy Systems, 1993, 1 (2): 146 -155.
  • 9Wang L X. Adaptive fuzzy systems and control -- design and stability analysis [ M]. Upper Saddle River: Prentice Hall, 1994. 102- 181.
  • 10Zhang H G, Bien Z. Adaptive fuzzy control of MIMO nonlinear systems [ J ]. Int Journal of Fuzzy Sets and Systems, 2000,115(2): 191 - 204.

引证文献5

二级引证文献12

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