Dynamic Structure Networks for Stable Adaptive Control
The local representation properties and the possibility of predetermining the basis function parameters in Gaussian RBF networks, makes them ideal candidates for implementing functional adaptive control. However these attractive features are somewhat tarnished by the curse of dimensionality problem associated with GaRBF networks when used for high dimensional spaces.
KeywordsRadial Basis Function Tracking Error Radial Basis Function Neural Network Mesh Point Tracking Accuracy
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