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Most available forecasters were designed in non-adaptive approach whereby the forecasters' parameters were updated during training phase. Slightly different, this paper introduces an adaptive forecaster built from the Hybrid Radial Basis Function neural network, in which its parameters were updated continuously in real time using new data. To achieve this, two learning algorithms: Adaptive Fuzzy C-Means...
A new piezoelectric/ electrorheological hybrid hydraulic ultra-precision step actuator that uses a hybrid mode of piezoelectric stack pump hydro-drive and electrorheological valve control to the precision hydraulic cylinder is presented. It achieves high frequency, ultra-precision hydraulic step drive. The working principle of the step actuator is analyzed and its experimental characteristics are...
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