A linearization scheme is proposed to demonstrate how a neural network scheme learns to linearize a system without any identification. The process occurs within an evaluator and a controller, which communicate with each other through reinforcement signals. From simulation results, the proposed learning scheme notably surpasses the conventional neural network approaches
Published in:
Industrial Electronics, IEEE Transactions on
(Volume:47
,
Issue:
5
)
Date of Publication: Oct 2000