数学物理学报(英文版) ›› 2000, Vol. 20 ›› Issue (4): 542-550.

• 论文 • 上一篇    下一篇

FUZZY IDENTIFIER WITH EXPONENTIAL RATE OF CONVERGENCE FOR NONLINEAR DYNAMIC SYSTEMS

 解学军, 张克梅   

  1. Institute of Automation, Qufu Normal University, Qufu 273165, China Department of Mathematics and Computer Sciences, Qufu Normal University, Qufu 273165, China
  • 收稿日期:1998-03-05 修回日期:1999-09-28 出版日期:2000-06-15 发布日期:2000-06-15
  • 基金资助:

    Supported by NSF of Sandong province (Q99G04)

FUZZY IDENTIFIER WITH EXPONENTIAL RATE OF CONVERGENCE FOR NONLINEAR DYNAMIC SYSTEMS

 JIE Hua-Jun, ZHANG Ke-Mei   

  1. Institute of Automation, Qufu Normal University, Qufu 273165, China Department of Mathematics and Computer Sciences, Qufu Normal University, Qufu 273165, China
  • Received:1998-03-05 Revised:1999-09-28 Online:2000-06-15 Published:2000-06-15
  • Supported by:

    Supported by NSF of Sandong province (Q99G04)

摘要:

In this paper, fuzzy systems are used as identifiers for unknown nonlinear
dynamic systems. The fuzzy identifier can incorporate linguistic knowledge of nonlinear
dynamic systems with input-output pairs directly into the design. In the case where there
is the modelling error, a new identification algorithm is proposed. It is proved that the
fuzzy identifier is globally stable and the identification error converges to zero exponentially
fast.

关键词: Fuzzy identifier, nonlinear systems, -modification algorithm

Abstract:

In this paper, fuzzy systems are used as identifiers for unknown nonlinear
dynamic systems. The fuzzy identifier can incorporate linguistic knowledge of nonlinear
dynamic systems with input-output pairs directly into the design. In the case where there
is the modelling error, a new identification algorithm is proposed. It is proved that the
fuzzy identifier is globally stable and the identification error converges to zero exponentially
fast.

Key words: Fuzzy identifier, nonlinear systems, -modification algorithm

中图分类号: 

  • 93B30