Browsing by Author "TENG, CC"

Now showing 1 - 3 of 3

A MODEL-REFERENCE CONTROL-STRUCTURE USING A FUZZY NEURAL-NETWORK
(1995-08-08)
CHEN, YC
;
TENG, CC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
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.
IMPLEMENTATION OF A FUZZY INFERENCE SYSTEM USING A NORMALIZED FUZZY NEURAL-NETWORK
(1995-10-13)
CHAO, CT
;
TENG, CC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this paper, we present a normalized fuzzy neural network (NFNN) to implement fuzzy inference systems. The proposed NFNN architecture makes an effective rule combination technique possible and thus enables us to significantly reduce the number of rules in the NFNN. We also derive a sufficient condition for rule combination and provide an algorithm to perform rule combination. Simulation results show that when combined with a rule elimination method the proposed rule combination method can greatly reduce the number of rules in the NFNN.
ON THE NATURE OF THE BOXER-THALER AND MADWED INTEGRATORS AND THEIR APPLICATIONS IN DIGITIZING A CONTINUOUS-TIME SYSTEM
(1990-10-01)
WANG, CH
;
LIN, MY
;
TENG, CC
;
電控工程研究所
;
Institute of Electrical and Control Engineering