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
收藏
页码：3026 / 3043
页数：18
相关论文
共 24 条
[1]   Regularity and chaos in recurrent fuzzy systems [J].
Adamy, E ;
Kempf, R .
FUZZY SETS AND SYSTEMS, 2003, 140 (02) :259-284
[2]   Equilibria of continuous-time recurrent fuzzy systems [J].
Adamy, J. ;
Flemming, A. .
FUZZY SETS AND SYSTEMS, 2006, 157 (22) :2913-2933
[3]  
ADAMY J, 1999, Patent No. 5904202
[4]  
ADAMY J, 1998, Patent No. 0819033
[5]   Structure identification and parameter optimization for non-linear fuzzy modeling [J].
Evsukoff, A ;
Branco, ACS ;
Galichet, S .
FUZZY SETS AND SYSTEMS, 2002, 132 (02) :173-188
[6]   Modeling solid oxide fuel cells using continuous-time recurrent fuzzy systems [J].
Flemming, A. ;
Adamy, J. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (08) :1289-1300
[7]  
GORRINI V, 1994, P 3 IEEE C FUZZ SYST, V1, P193
[8]   Generating an interpretable family of fuzzy partitions from data [J].
Guillaume, S ;
Charnomordic, B .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (03) :324-335
[9]   ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].
JANG, JSR .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685
[10]   A recurrent self-organizing neural fuzzy inference network [J].
Juang, CF ;
Lin, CT .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (04) :828-845
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