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
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