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Details for article 8 of 11 found articles
| Title: |
Neural-net computing and the intelligent control of systems |
| Author: |
Pao, Yoh-Han Phillips, Stephen M. Sobajic, Dejan J. |
| Appeared in: |
International journal of control |
| Paging: | Volume 56 (1992) nr. 2 pages 263-289 |
| Year: |
1992 |
| Contents: |
In this article, we are concerned with neural-nets which can learn to control systems in accordance with a guiding intent, and can also learn how to formulate that control strategy or intent. The overall task of systems control is viewed as being carried out by four components, these being the predictive monitoring net, the control action generator net, the objective function net and the optimization net. This approach and perspective are described and illustrated in this article. In our examples, we show that systems identification can indeed be achieved in the presence of noise and that optimal control can be formulated in a learning mode, by neural nets. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 8 of 11 found articles
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