Abstract
A method of computing boundary control of semilinear controlled heat equation is proposed. Artificial Neural Network (ANN) based controller has been designed. Control terms are approximated by neural networks and a trial solution is written for the controlled heat equation as a sum of two terms. The first term satisfies the given initial, boundary and final conditions and the second term is a feed-forward neural network, constructed so as not to affect' the given conditions. Then the networks are trained to satisfy the heat equation and associated initial, boundary and final conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 1137-1146 |
| Number of pages | 10 |
| Journal | International Communications in Heat and Mass Transfer |
| Volume | 30 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 11-2003 |
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics
- General Chemical Engineering
- Condensed Matter Physics
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