Single net indirect learning architecture.
This paper presents a novel indirect learning architecture which uses a single neural network in implementation. The new architecture generates the error signal required in training the controller network by an innovative design using a memory element and few switches. The new controller needs only half the number of neurons and connection weights in comparison with the original indirect learning architecture. Also given are the simulation results in controlling a nonlinear plant.
Andersen
H C
HC
Dept. of Electr. and Comput. Eng., Queensland Univ., Brisbane, Qld.
Teng
F C
FC
Tsoi
A C
AC