Reinforcement Learning-Based Adaptive Gain Tuning of Terminal Super-Twisting SMC for Lane-Change Control in Autonomous Vehicles

This paper presents a reinforcement learning–based adaptive gain tuning strategy for a Terminal Super-Twisting Sliding Mode Controller (TST-SMC) applied to autonomous vehicle lane-change maneuvers. The controller gains are adapted per-maneuver using a Twin-Delayed Deep Deterministic Policy Gr...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Mohammadreza Maleki, Forough Sadat Razavi, Amir Taghavipour
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2025-01-01
Rangatū:	IEEE Access
Ngā marau:	Autonomous vehicles reinforcement learning super-twisting sliding mode control lane change maneuvers adaptive control
Urunga tuihono:	https://ieeexplore.ieee.org/document/11251178/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!