Abstract
A generalized predictive control method based on an ARMAX model is suggested for chaos control in discrete-time systems. Both control performance and system sensitivity to initial conditions of this approach are compared with the conventional model-referenced adaptive control via numerical simulations. Simulation results show that this controller yields faster settling time, more accurate target tracking, and less initial sensitivity.
| Original language | English |
|---|---|
| Pages (from-to) | 1591-1597 |
| Number of pages | 7 |
| Journal | International Journal of Bifurcation and Chaos in Applied Sciences and Engineering |
| Volume | 8 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1998 Jul |
All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Engineering (miscellaneous)
- General
- Applied Mathematics