Abstract
The scope of this paper is to design an implicit self-tuning fuzzy controller suitable for a class of non-linear systems. The approach of parametric fuzzy modeling is used to decompose the nonlinear input-output mappings of a physical system in a universe of discourse constituted by linear models. The control objective, given in terms of an optimal control policy, is achieved through linear control techniques applied to each one of these model components. A fuzzy controller infers a composite control action based on the control laws designated for the individual linear models. A direct adaptive algorithm is introduced to identify on-line the control parameters.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3750-3754 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 5 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering