Trajectory tracking via adaptive dynamic neural control

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

7 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Symposium on Intelligent Control - Proceedings
Pages286-291
Publication statusPublished - 2001
Externally publishedYes

Conference

TitleProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01
PlaceMexico
CityMexico City
Period5 - 7 September 2001

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 WorksRGC 32 - Refereed conference paper (with host publication)peer-review