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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| Other Authors: | |
| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4539 |
| _version_ | 1826120324460052480 |
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| author | Kyaw, Minn Latt. |
| author2 | Song, Qing |
| author_facet | Song, Qing Kyaw, Minn Latt. |
| author_sort | Kyaw, Minn Latt. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:14:39Z |
| format | Thesis |
| id | ntu-10356/4539 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:14:39Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/45392023-07-04T15:59:37Z Robust neural network tracking controller based on simultaneous perturbation stochastic approximation Kyaw, Minn Latt. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics 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. Master of Science (Computer Control and Automation) 2008-09-17T09:53:47Z 2008-09-17T09:53:47Z 2003 2003 Thesis http://hdl.handle.net/10356/4539 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Kyaw, Minn Latt. Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title | Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title_full | Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title_fullStr | Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title_full_unstemmed | Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title_short | Robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| title_sort | robust neural network tracking controller based on simultaneous perturbation stochastic approximation |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics |
| url | http://hdl.handle.net/10356/4539 |
| work_keys_str_mv | AT kyawminnlatt robustneuralnetworktrackingcontrollerbasedonsimultaneousperturbationstochasticapproximation |