DocumentCode
52195
Title
Data-driven super-twisting observer design for systems of dimension more than one
Author
Basin, Michael ; Rodriguez-Ramirez, Pablo
Author_Institution
Dept. of Phys. & Math. Sci., Autonomous Univ. of Nuevo Leon, San Nicolas de los Garza, Mexico
Volume
9
Issue
7
fYear
2015
fDate
4 23 2015
Firstpage
1119
Lastpage
1123
Abstract
This study presents data-driven super-twisting-like smooth observer design for systems of dimension more than one. The major advantage of the proposed observers is finite-time convergence of the estimation error to zero and smoothness of the observer trajectory. This study concludes with numerical simulations illustrating performance of the designed algorithms.
Keywords
control system synthesis; multidimensional systems; observers; trajectory control; data-driven super-twisting-like smooth observer design; designed algorithms; estimation error; finite-time convergence; numerical simulations; observer trajectory;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2014.0196
Filename
7100996
Link To Document