Controller decision making using neural networks
Most industrial processes contain nonlinearities, making them difficult to control. To overcome this issue many authors have developed complex nonlinear algorithms and models, most of them being process dependant. However, creating local models to approximate the plant by linear regions is a suita...
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Main Author: | Andres Prado Espinoza |
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Other Authors: | Mao Kezhi |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/10356/41420 |
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Institution: | Nanyang Technological University |
Language: | English |
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