Abstract
In this paper, the adaptive fuzzy-neural controllers tuned on-line for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper.
| Original language | English |
|---|---|
| Pages (from-to) | 1034-1043 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
| Volume | 27 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1997 |
| Externally published | Yes |
Keywords
- Adaptive fuzzy-neural controller
- Local tuning
- On-line tuning
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Information Systems
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering