Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4539
Title: Robust neural network tracking controller based on simultaneous perturbation stochastic approximation
Authors: Kyaw, Minn Latt.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2003
Abstract: the robust neural controller based on the SPSA has been developed to obtain the guaranteed stability with a normalized learning algorithm. A three-layered neural network is used for the simulation study with 30 hidden layer neurons and two output neurons, which was trained by the standard back-propagation and SPSA training algorithm.
URI: http://hdl.handle.net/10356/4539
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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