Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.fss.2005.05.041 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy model,fuzzy system,lmi,stability,current research,control hierarchy,model-based fuzzy control method,intelligent control,modeling,expert control,model-based controller,nonlinear systems,fuzzy control,model-free control design method,nonlinear system | Intelligent control,Supervisor,Control theory,Industrial engineering,Expert system,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Adaptive neuro fuzzy inference system,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
156 | 3 | Fuzzy Sets and Systems |
Citations | PageRank | References |
164 | 6.99 | 48 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Sala | 1 | 562 | 33.44 |
| Thierry Marie Guerra | 2 | 1060 | 73.97 |
| Robert Babuska | 3 | 2200 | 164.90 |