Abstract
Chaotic behaviors are characterized mainly by Lyapunov numbers of a dynamic system. In this paper, a new method is proposed, which can control the maximum Lyapunov number of dynamic system that can be represented by Universal Learning Networks (ULNs). The maximum Lyapunov number of a dynamic system can be formulated by using higher order derivatives of ULNs and parameters of ULNs can be adjusted for the maximum Lyapunov number to approach to the target value by the combined gradient and random search method. Based on simulation results, a fully connected ULN with three nodes is possible to display chaotic behaviors.
| Original language | English |
|---|---|
| Pages (from-to) | 1702-1707 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 2 |
| Publication status | Published - 1998 Dec 1 |
| Externally published | Yes |
| Event | Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 2 (of 5) - San Diego, CA, USA Duration: 1998 Oct 11 → 1998 Oct 14 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture