Trajectory tracking via adaptive dynamic neural control
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Intelligent Control - Proceedings |
| Pages | 286-291 |
| Publication status | Published - 2001 |
| Externally published | Yes |
Conference
| Title | Proceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01 |
|---|---|
| Place | Mexico |
| City | Mexico City |
| Period | 5 - 7 September 2001 |
Link(s)
Abstract
This paper presents a new adaptive control structure, based on a dynamic neural network for trajectory tracking of unknown nonlinear plants. The main components of this structure Include a neural identifier and a control law, which together guarantee the desired tracking. Stability of the tracking error is analyzed by means of the Lyapunov function methods. Applicability of the proposed structure Is tested by simulations on two complex examples.
Research Area(s)
- Adaptive control, Lyapunov methodology, Neural networks, Trajectory tracking
Citation Format(s)
Trajectory tracking via adaptive dynamic neural control. / Sanchez, Edgar N.; Perez, Jose P.; Ricalde, Luis J. et al.
IEEE International Symposium on Intelligent Control - Proceedings. 2001. p. 286-291.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
