Abstract
In this paper, a new approach is developed for reproducing chaos by dynamic neural networks. The approach is based on a recently introduced methodology of inverse optimal control for nonlinear systems. Chen's chaotic system is used as an example for demonstration. The control law is derived to force a dynamic neural network to reproduce Chen's chaotic attractor. Computer simulation is shown for the purpose of illustration and verification.
| Original language | English |
|---|---|
| Pages (from-to) | 549-552 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 3 |
| DOIs | |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | 2001 IEEE International Symposium on Circuits and Systems (ISCAS 2001) - Sydney Convention and Exhibition Centre, Sydney, Australia Duration: 6 May 2001 → 9 May 2001 |
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