A new method for structure identification of fuzzy models and its application to a combined cycle power plant

Authors
Saez, D Cipriano, A
Citation
D. Saez et A. Cipriano, A new method for structure identification of fuzzy models and its application to a combined cycle power plant, ENG INTEL S, 9(2), 2001, pp. 101-107
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
ISSN journal
14728915 → ACNP
Volume
9
Issue
2
Year of publication
2001
Pages
101 - 107
Database
ISI
SICI code
1472-8915(200106)9:2<101:ANMFSI>2.0.ZU;2-P
Abstract
This paper presents a new method for structure identification based on sens itivity analysis to determine the significant input variables of a fuzzy mo del. The sensitivity method is favorably compared against an heuristic meth od in two different examples. The proposed method is also used to develop f uzzy models for a combined cycle power plant from real time data.