DocumentCode :
757717
Title :
Neural network controller characteristics with regard to adaptive control
Author :
Yabuta, Tetsuro ; Yamada, Takayuki
Author_Institution :
NTT, Ibaraki, Japan
Volume :
22
Issue :
1
fYear :
1992
Firstpage :
170
Lastpage :
177
Abstract :
The authors attempt to clarify neural network (NN) controller characteristics by comparison with the adaptive control theory. The authors clarify the classification of the NN controller architecture and the dynamic NN structure. Comparison between the NN controller and the adaptive controller clarifies that the framework of a linear two-layer NN-type controller is the same as that of adaptive control and the nonlinear three-layer NN (PDP type) is a nonlinear extension of the adaptive control. The stability characteristics of the NN control system are discussed. NN controller experiments are demonstrated using a force control servomechanism. Experimental results suggest that the nonlinear sigmoid function of the NN can compensate for the nonlinear plant effect
Keywords :
adaptive control; force control; neural nets; nonlinear control systems; servomechanisms; stability; adaptive control; classification; force control servomechanism; linear two-layer controller; neural network controller characteristics; nonlinear sigmoid function; nonlinear three-layer controller; stability characteristics; Adaptive control; Control systems; Control theory; Flexible structures; Force control; Neural networks; Nonlinear dynamical systems; Programmable control; Robot control; Telecommunication control;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.141322
Filename :
141322
Link To Document :
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