2 papers
eess.SY2025
Auto-Optimization with Active Learning in Uncertain Environment: A Predictive Control Approach
Yuan Tan, Jun Yang, Zhongguo Li +2
This paper presents an auto-optimal model predictive control (MPC) framework enhanced with active learning, designed to autonomously track optimal operational conditions in an unkn…
eess.SY2024
Auto-Optimized Maximum Torque Per Ampere Control of IPMSM Using Dual Control for Exploration and Exploitation
Yuefei Zuo, Yalei Yu, Jun Yang +1
In this paper, a maximum torque per ampere (MTPA) control strategy for the interior permanent magnet synchronous motor (IPMSM) using dual control for exploration and exploitation (…