Abstract
The authors address the tracking control of nonlinear systems with unknown dynamics. A self-tuning control architecture is proposed based on the nonlinear computational properties of artificial neural networks. A local convergence analysis of the weight update equations is given and then the algorithm is simulated and successfully tested for discrete time nonlinear systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 980-984 |
| Number of pages | 5 |
| Journal | Conference Record - Asilomar Conference on Circuits, Systems & Computers |
| Volume | 2 |
| State | Published - 1991 |
| Event | 24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2) - Pacific Grove, CA, USA Duration: Nov 5 1990 → Nov 7 1990 |
ASJC Scopus subject areas
- General Engineering