Title :
A novel MIMO fuzzy model
Author :
Zhang, Jian Qiu ; Ovaska, Seppo J. ; Gao, Xiao Zhi
Author_Institution :
Sch. of Eng., Greenwich Univ., Maritime, UK
Abstract :
A novel method for the construction of multi-input-multi-output (MIMO) fuzzy logic systems is proposed. A training algorithm for this MIMO fuzzy model, based on the backpropagation (BP) technique, is also given. Comparing to the conventional modeling method, the MIMO fuzzy model described is less complex due to a smaller number of adjustable parameters. Besides, its training time is decreased as much as 30% of the conventional method. Consequently, the proposed method is especially suitable for real world MIMO modeling applications
Keywords :
MIMO systems; backpropagation; fuzzy logic; fuzzy set theory; fuzzy systems; identification; neural nets; MIMO fuzzy model; backpropagation; fuzzy logic; fuzzy set theory; fuzzy systems; identification; learning algorithm; neural nets; Feedforward neural networks; Function approximation; Fuzzy logic; Fuzzy sets; Fuzzy systems; MIMO; Neural networks; Paper technology; Power electronics; Power engineering and energy;
Conference_Titel :
Southeastcon '99. Proceedings. IEEE
Conference_Location :
Lexington, KY
Print_ISBN :
0-7803-5237-8
DOI :
10.1109/SECON.1999.766081
