Abstract
This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified back propagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analyzed.
| Original language | English |
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| Pages (from-to) | 4263-4264 |
| Number of pages | 2 |
| Journal | Proceedings of the American Control Conference |
| Volume | 6 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: 21 Jun 1995 → 23 Jun 1995 |