Abstract
Direct adaptive control is a widely known control scheme in which the controller attempts to approximate the ideal controller directly. 'Approximators' such as linear mappings, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.
| Original language | English |
|---|---|
| Pages (from-to) | 2154-2158 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 3 |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | 2000 American Control Conference - Chicago, IL, USA Duration: 28 Jun 2000 → 30 Jun 2000 |