Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems

被引：10

作者：

Adamy, J. ^{[1
]}

Schwung, A. ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Inst Automat Control, D-64283 Darmstadt, Germany

来源：

FUZZY SETS AND SYSTEMS | 2010年 / 161卷 / 23期

关键词：

Continuous-time recurrent fuzzy systems; Nonlinear dynamic systems; Qualitative modeling; Structure and parameter optimization; IDENTIFICATION; EQUILIBRIA; NETWORK;

D O I：

10.1016/j.fss.2010.08.004

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Continuous-time recurrent fuzzy systems (CTRFS) allow the representation of knowledge-based dynamic processes that can be stated in the form of "if ..., then ... " rules. In this article we show how a CTRFS can not only be modeled by linguistically given knowledge but also by measured data. Furthermore, a unified approach for both structure and parameter identification of continuous-time recurrent fuzzy systems will be presented, resulting in a linguistically interpretable model of the considered dynamic process. The capability of the approach is shown by modeling of a biotechnological process. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：3026 / 3043

页数：18

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