A CMOS feedforward neural-network chip with on-chip parallel learning for oscillation cancellation.
The paper presents a mixed signal CMOS feedforward neural-network chip with on-chip error-reduction hardware for real-time adaptation. The chip has compact on-chip weighs capable of high-speed parallel learning; the implemented learning algorithm is a genetic random search algorithm: the random weight change (RWC) algorithm. The algorithm does not require a known desired neural network output for error calculation and is suitable for direct feedback control. With hardware experiments, we demonstrate that the RWC chip, as a direct feedback controller, successfully suppresses unstable oscillations modeling combustion engine instability in real time.
Liu
J
J
Dept. of Electr. Eng., Texas Univ., Richardson, TX, USA.
Brooke
M A
MA
Hirotsu
K
K