Perspectives of fuzzy systems and control

被引:309
作者
Sala, A
Guerra, TM
Babuska, R
机构
[1] Univ Politecn Valencia, Syst & Control Engn Dept, E-46071 Valencia, Spain
[2] Univ Valenciennes & Hainaut Cambresis, CNRS, UMR 8530, LAMIH, F-59313 Valenciennes, France
[3] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
关键词
fuzzy control; modeling; stability; LMI; nonlinear systems; intelligent control;
D O I
10.1016/j.fss.2005.05.041
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Although fuzzy control was initially introduced as a model-free control design method based on the knowledge of a human operator, current research is almost exclusively devoted to model-based fuzzy control methods that can guarantee stability and robustness of the closed-loop system. State-of-the-art techniques for identifying fuzzy models and designing model-based controllers are reviewed in this article. Attention is also paid to the role of fuzzy systems in higher levels of the control hierarchy, such as expert control, supervision and diagnostic systems. Open issues are highlighted and an attempt is made to give some directions for future research. (c) 2005 Elsevier B.V All rights reserved.
引用
收藏
页码:432 / 444
页数:13
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