17 citations · 32 across the 8 of their papers we have counts for
8 papers
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…
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 (…
An Exploration-Exploitation Approach to Anti-lock Brake Systems
Benjamin Sullivan, Jingjing Jiang, Georgios Mavros +1
Anti-lock Brake System (ABS) is a mandatory active safety feature on road vehicles with analogous systems for aircraft and locomotives. This feature aims to prevent locking of the…
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning
Zhongguo Li, Wen-Hua Chen, Jun Yang +1
The quest for optimal operation in environments with unknowns and uncertainties is highly desirable but critically challenging across numerous fields. This paper develops a dual co…
A distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution
Yuan Tan, Jun Yang, Wen-Hua Chen +1
In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of two-sided chance constrained discrete-time line…
Multi-step dual control for exploration and exploitation in autonomous search with convergence guarantee
Yuan Tan, Jun Yang, Wen-Hua Chen +1
Motivated by the recently proposed dual control for exploration and exploitation (DCEE) concept, this paper presents a Multi-Step DCEE (MS-DCEE) framework with guaranteed convergen…
Model Predictive Control with Preview: Recursive Feasibility and Stability
Xing Fang, Wen-Hua Chen
This paper proposes a stabilising model predictive control (MPC) scheme with preview information of disturbance for nonlinear systems. The proposed MPC algorithm is able to not onl…
Concurrent Active Learning in Autonomous Airborne Source Search: Dual Control for Exploration and Exploitation
Zhongguo Li, Wen-Hua Chen, Jun Yang
In this paper, a concurrent learning framework is developed for source search in an unknown environment using autonomous platforms equipped with onboard sensors. Distinct from the…