Name
Title | ||
|---|---|---|
A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems. |
Abstract | ||
|---|---|---|
Many industrial processes and physical systems are spatially distributed systems. Recently, a novel 3-D FLC was developed for such systems. The previous study on the 3-D FLC was concentrated on an expert knowledge-based approach. However, in most of situations, we may lack the expert knowledge, while input-output data sets hidden with effective control laws are usually available. Under such circumstance, a data-driven approach could be a very effective way to design the 3-D FLC. In this study, we aim at developing a new 3-D FLC design methodology based on clustering and support vector machine (SVM) regression. The design consists of three parts: initial rule generation, rule-base simplification, and parameter learning. Firstly, the initial rules are extracted by a nearest neighborhood clustering algorithm with Frobenius norm as a distance. Secondly, the initial rule-base is simplified by merging similar 3-D fuzzy sets and similar 3-D fuzzy rules based on similarity measure technique. Thirdly, the consequent parameters are learned by a linear SVM regression algorithm. Additionally, the universal approximation capability of the proposed 3-D fuzzy system is discussed. Finally, the control of a catalytic packed-bed reactor is taken as an application to demonstrate the effectiveness of the proposed 3-D FLC design. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/841609 | JOURNAL OF APPLIED MATHEMATICS |
Field | DocType | Volume |
Data mining,Similarity measure,Physical system,Fuzzy set,Artificial intelligence,Fuzzy control system,Cluster analysis,Distributed computing,Fuzzy logic,Support vector machine,Matrix norm,Mathematics,Machine learning | Journal | 2012 |
Issue | ISSN | Citations |
null | 1110-757X | 3 |
PageRank | References | Authors |
0.40 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xian-Xia Zhang | 1 | 112 | 13.90 |
| Jun-da Qi | 2 | 3 | 0.40 |
| Bai-li Su | 3 | 3 | 0.40 |
| Shiwei Ma | 4 | 136 | 21.79 |
| Hongbo Liu | 5 | 1426 | 105.95 |