@inproceedings{43979936e27f4e948f7bf8bae43fd424,
title = "Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor",
abstract = "This paper presents the methodology of design of a discrete-time adaptive quasi-sliding mode controller (QSMC) based on a recursive weighted least square (RWLS) estimator for a dc motor. The proposed control scheme allows handling the classic problem of a QSMCs, which is the steady-state error due to the use of a saturation function instead of a switching function in the sliding mode control (SMC) algorithm. The use of linear and nonlinear signal references helps to show the closed-loop performance of the control system and its tracking capabilities. Experimental results show a better performance of the RWLS-QSMC algorithm applied on the speed control of a dc motor than a classic SMC.",
author = "Valladolid, \{Juan D.\} and Ortiz, \{Juan P.\} and Minchala, \{Luis I.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Conference on Control Applications, CCA 2016 ; Conference date: 19-09-2016 Through 22-09-2016",
year = "2016",
month = oct,
day = "10",
doi = "10.1109/CCA.2016.7587925",
language = "Ingl{\'e}s",
series = "2016 IEEE Conference on Control Applications, CCA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "886--890",
booktitle = "2016 IEEE Conference on Control Applications, CCA 2016",
}