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|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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