Abstract
In this paper, we present an adaptive control strategy for controlling chaos in nonlinear dynamical systems. The proposed method is a neuro-fuzzy model as a globally coupled map based on entropy optimization, which combines an identified system fuzzy model and a control input update rule. The stability analysis of the resulting control scheme is shown by a property of contraction mappings. Numerical examples are given to illustrate the transition between chaotic states and stable equilibrium states.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE International Symposium on Intelligent Control - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 243-246 |
| Number of pages | 4 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC - Gaithersburg, MD, USA Duration: Sep 14 1998 → Sep 17 1998 |
Other
| Other | Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC |
|---|---|
| City | Gaithersburg, MD, USA |
| Period | 9/14/98 → 9/17/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering