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Radial basis function neural network-based adaptive critic control of induction motors

✍ Scribed by Chuan-Kai Lin


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
577 KB
Volume
11
Category
Article
ISSN
1568-4946

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## Abstract In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an __error minimizing dead‐zone__ in the learning