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Neural tracking trajectory of discrete-time nonlinear systems based on an exponential sliding mode algorithm.
- Source :
-
International Journal of General Systems . Jul2024, Vol. 53 Issue 5, p564-596. 33p. - Publication Year :
- 2024
-
Abstract
- For a class of discrete-time nonlinear systems, this paper proposes a discrete-time sliding mode control algorithm with an exponential term that acts as a variable gain to improve the convergence to a bounded region around the origin for the state variable. To compensate for unknown, but bounded disturbances, it has been employed a discontinuous function through a discrete-time integral action. A discrete-time neural network has also been employed to identify such nonlinear system with a block controllable structure. Finally, the proposed controller and the neural network algorithms are applied to a discretised direct current (DC) motor to follow a desired admissible trajectory. Numerical simulations show the effectiveness of the proposed control law. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03081079
- Volume :
- 53
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- International Journal of General Systems
- Publication Type :
- Academic Journal
- Accession number :
- 177117516
- Full Text :
- https://doi.org/10.1080/03081079.2023.2297839