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Online reinforcement learning control via discontinuous gradient.
- Source :
-
International Journal of Adaptive Control & Signal Processing . May2024, Vol. 38 Issue 5, p1762-1776. 15p. - Publication Year :
- 2024
-
Abstract
- Summary: This work proposes a reinforcement learning control scheme for systems affected by persistent external perturbations. This scheme relies on ℋ∞$$ {\mathscr{H}}_{\infty } $$ and high‐order sliding mode control techniques combined to estimate the parameters with a certain degree of precision and simultaneously attenuate persistent and state‐dependent perturbations. The proposed solution is a novel design technique based on the minimization method via Discontinuous Gradient. The stability of the proposed scheme is proved via the Lyapunov approach. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ONLINE education
*SLIDING mode control
*DESIGN techniques
Subjects
Details
- Language :
- English
- ISSN :
- 08906327
- Volume :
- 38
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- International Journal of Adaptive Control & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 177083400
- Full Text :
- https://doi.org/10.1002/acs.3776