Bandyopadhyay, B. ; Desai, J.V. ; Kane, C.D. (2005) Neural network based predictive controller (NNPC): An investigation into its application in Textiles In: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 28-30 Nov. 2005, Vienna, Austria.
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Official URL: http://doi.org/10.1109/CIMCA.2005.1631388
Related URL: http://dx.doi.org/10.1109/CIMCA.2005.1631388
Abstract
As neural networks are parallel machines, they hold great promise for solving complex problems. Due to the ability of neural networks to approximate arbitrary non-linearities, neural networks play a vital role in control field. To implement a neural network based predictive control, dynamic modeling of the process is required. The developed dynamic model is used to predict the output and try to minimize the difference between the predicted outputs and desired trajectory. A neural network based predictive control is implemented for a PMTD process.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
| ID Code: | 116125 |
| Deposited On: | 19 Mar 2021 09:13 |
| Last Modified: | 19 Mar 2021 09:13 |
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