Robust neural network tracking controller based on simultaneous perturbation stochastic approximation
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-propa...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4539 |