TY - GEN
T1 - Data-driven based 3-D fuzzy logic controller design using nearest neighborhood clustering and linear support vector regression
AU - Zhang, Xianxia
AU - Jiang, Ye
AU - Zou, Tao
AU - Qi, Chenkun
AU - Cao, Guitao
PY - 2011
Y1 - 2011
N2 - Three-dimensional fuzzy logic controller (3-D FLC) is a novel FLC developed for spatially distributed parameter systems. In this study, we are concerned with data-based 3-D FLC design. A nearest neighborhood clustering algorithm is employed to extract fuzzy rules from input-output data pairs, and then an optimization algorithm based on geometric similarity measure is used to reduce the obtained rule base. The consequent parameters are estimated using linear support vector regression. Finally, a catalytic packed-bed reactor is taken as an application to demonstrate the effectiveness of the 3-D FLC.
AB - Three-dimensional fuzzy logic controller (3-D FLC) is a novel FLC developed for spatially distributed parameter systems. In this study, we are concerned with data-based 3-D FLC design. A nearest neighborhood clustering algorithm is employed to extract fuzzy rules from input-output data pairs, and then an optimization algorithm based on geometric similarity measure is used to reduce the obtained rule base. The consequent parameters are estimated using linear support vector regression. Finally, a catalytic packed-bed reactor is taken as an application to demonstrate the effectiveness of the 3-D FLC.
KW - 3-D fuzzy set
KW - linear support vector regression
KW - nearest neighborhood clustering
KW - three-dimensional fuzzy logic controller
UR - https://www.scopus.com/pages/publications/80053062990
U2 - 10.1109/FUZZY.2011.6007684
DO - 10.1109/FUZZY.2011.6007684
M3 - 会议稿件
AN - SCOPUS:80053062990
SN - 9781424473175
T3 - IEEE International Conference on Fuzzy Systems
SP - 374
EP - 380
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Y2 - 27 June 2011 through 30 June 2011
ER -