2 papers
eess.SY2025
MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
Taehun Kim, Guntae Kim, Cheolmin Jeong +1
This paper proposes Mode-Aware Probabilistic Scheduling (MAPS), a novel adaptive control framework tailored for DC motor systems experiencing varying friction. MAPS uniquely integr…
eess.SY2025
NeuroDOB: A Deep Neural Observer-Based Controller for Vehicle Lateral Dynamics
Sangmin Kim, Taehun Kim, Guntae Kim +1
This paper proposes NeuroDOB, a deep neural network based observer controller for vehicle lateral dynamics, which replaces the conventional disturbance observer (DOB) with a deep n…