Reinforcement learning-enhanced adaptive sliding mode control for nonlinear systems

Reinforcement learning-enhanced adaptive sliding mode control for nonlinear systems

Abstract This paper presents a novel Adaptive Relaxed Sliding Mode Control (ARSMC) framework for nonlinear systems, enhanced by an actor-critic reinforcement learning algorithm. ARSMC addresses the limitations of traditional sliding mode control by providing a chattering-free control signal, minimiz...

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Bibliographic Details
Main Authors: Omnia Youssef, Mohamed Wafa, Raafat Shalaby
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Complex & Intelligent Systems
Subjects:
Sliding mode
Nonlinear systems
Chattering-free
Reinforcement learning
Actor-critic
Adaptive control
Online Access:https://doi.org/10.1007/s40747-025-01978-7
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https://doi.org/10.1007/s40747-025-01978-7

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