標題: A MODEL-REFERENCE CONTROL-STRUCTURE USING A FUZZY NEURAL-NETWORK
作者: CHEN, YC
TENG, CC
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: FUZZY LOGIC;NEURAL NETWORK;FUZZY NEURAL NETWORK;MODEL REFERENCE CONTROL
公開日期: 8-八月-1995
摘要: In this paper, we present a design method for a model reference control structure using a fuzzy neural network. We study a simple fuzzy-logic based neural network system. Knowledge of rules is explicitly encoded in the weights of the proposed network and inferences are executed efficiently at high rate. Two fuzzy neural networks are utilized in the control structure. One is a controller, called the fuzzy neural network controller (FNNC); the other is an identifier, called the fuzzy neural network identifier (FNNI). Adaptive learning rates for both the FNNC and FNNI are guaranteed to converge by a Lyapunov function. The on-line control ability, robustness, learning ability and interpolation ability of the proposed model reference control structure are confirmed by simulation results.
URI: http://hdl.handle.net/11536/1783
ISSN: 0165-0114
期刊: FUZZY SETS AND SYSTEMS
Volume: 73
Issue: 3
起始頁: 291
結束頁: 312
顯示於類別:期刊論文


文件中的檔案:

  1. A1995RM85900001.pdf