Back to Search
Start Over
Data-driven model-free sliding mode learning control for a class of discrete-time nonlinear systems.
- Source :
-
Transactions of the Institute of Measurement & Control . Sep2020, Vol. 42 Issue 13, p2533-2547. 15p. - Publication Year :
- 2020
-
Abstract
- This paper proposes a data-driven model-free sliding mode learning control (MFSMLC) for a class of discrete-time nonlinear systems. In this scheme, the control design does not depend on the mathematical model of the controlled system. The nonlinear system can be transformed into a dynamic linear data system by a novel dynamic linearization method. A recursive learning control algorithm is designed for the nonlinear system that can drive the sliding variable reach and remain on the sliding surface only by using output and input data. Moreover, the chattering is reduced because there is no non-smooth term in MFSMLC. After the strict stability analysis, the effectiveness of MFSMLC is validated by MATLAB simulations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01423312
- Volume :
- 42
- Issue :
- 13
- Database :
- Academic Search Index
- Journal :
- Transactions of the Institute of Measurement & Control
- Publication Type :
- Academic Journal
- Accession number :
- 145035755
- Full Text :
- https://doi.org/10.1177/0142331220921022