activity
20192026
most citedData-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System

54 citations · 106 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

ForceRFT: Refining VLA Actions through Force-Guided Residual Reinforcement Learning

Yichen Wang, Chaoyang Zhang, Xuqi Su +3

Force-conditioned vision-language-action (VLA) policies can respond to contact, but when trained solely on demonstrations, their recovery behavior may be limited by demonstration c…

eess.SY2021

Generalized Iterative Super-Twisting Sliding Mode Control: A Case Study on Flexure-Joint Dual-Drive H-Gantry Stage

Wenxin Wang, Jun Ma, Zilong Cheng +3

Mechatronic systems are commonly used in the industry, where fast and accurate motion performance is always required to guarantee manufacturing precision and efficiency. Neverthele…

eess.SY2021★ 42 cited

Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks

Wenxin Wang, Jun Ma, Zilong Cheng +3

This paper proposes a global iterative sliding mode control approach for high-precision contouring tasks of a flexure-linked biaxial gantry system. For such high-precision contouri…

eess.SY2021★ 1 cited

Convex Parameterization and Optimization for Robust Tracking of a Magnetically Levitated Planar Positioning System

Jun Ma, Zilong Cheng, Haiyue Zhu +3

Magnetic levitation positioning technology has attracted considerable research efforts and dedicated attention due to its extremely attractive features. The technology offers high-…

cs.CV2020★ 3 cited

Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation

Haiyue Zhu, Yiting Li, Fengjun Bai +6

Data-efficient domain adaptation with only a few labelled data is desired for many robotic applications, e.g., in grasping detection, the inference skill learned from a grasping da…

eess.SY2020★ 54 cited

Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System

Xiaocong Li, Haiyue Zhu, Jun Ma +4

The performance achieved with traditional model-based control system design approaches typically relies heavily upon accurate modeling of the motion dynamics. However, modeling the…

eess.SY2020★ 1 cited

Robust Fixed-Order Controller Design for Uncertain Systems with Generalized Common Lyapunov Strictly Positive Realness Characterization

Jun Ma, Haiyue Zhu, Xiaocong Li +3

This paper investigates the design of a robust fixed-order controller for single-input-single-output (SISO) polytopic systems with interval uncertainties, with the aim that the clo…

math.OC2019★ 1 cited

Second-Order Non-Convex Optimization for Constrained Fixed-Structure Static Output Feedback Controller Synthesis

Zilong Cheng, Jun Ma, Xiaocong Li +2

For linear time-invariant (LTI) systems, the design of an optimal controller is a commonly encountered problem in many applications. Among all the optimization approaches available…

math.OC2019★ 4 cited

Data-Driven Linear Quadratic Optimization for Controller Synthesis with Structural Constraints

Jun Ma, Zilong Cheng, Xiaocong Li +3

For various typical cases and situations where the formulation results in an optimal control problem, the Linear Quadratic Regulator (LQR) approach and its variants continue to be…