182 citations · 225 across the 20 of their papers we have counts for
7 papers · 1 filter
MPC as a Copilot: A Predictive Filter Framework with Safety and Stability Guarantees
Yunda Yan, Chenxi Tao, Jinya Su +2
Ensuring both safety and stability remains a fundamental challenge in learning-based control, where goal-oriented policies often neglect system constraints and closed-loop state co…
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…
Composite learning control with modular backstepping and high-order tuners
Tian Shi, Shihua Li, Changyun Wen +1
Adaptive control of strict-feedback nonlinear systems with mismatched uncertainties remains challenging because high-order derivatives of parameter estimates can degrade transient…
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…
Active Disturbance Rejection Control Design with Suppression of Sensor Noise Effects in Application to DC-DC Buck Power Converter
Krzysztof Łakomy, Rafal Madonski, Bin Dai +4
The performance of active disturbance rejection control (ADRC) algorithms can be limited in practice by high-frequency measurement noise. In this work, this problem is addressed by…
Robust converter-fed motor control based on active rejection of multiple disturbances
Rafal Madonski, Krzysztof Łakomy, Momir Stankovic +3
In this work, an advanced motion controller is proposed for buck converter-fed DC motor systems. The design is based on an idea of active disturbance rejection control (ADRC) with…