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20192022
most citedData-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System

54 citations · 67 across the 8 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.OC2020

Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control

Xiaoxue Zhang, Jun Ma, Zilong Cheng +3

Distributed optimization is often widely attempted and innovated as an attractive and preferred methodology to solve large-scale problems effectively in a localized and coordinated…

cs.CV20203 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.SY202054 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.SY20201 cited

Trajectory Generation by Chance Constrained Nonlinear MPC with Probabilistic Prediction

Xiaoxue Zhang, Jun Ma, Zilong Cheng +3

Continued great efforts have been dedicated towards high-quality trajectory generation based on optimization methods, however, most of them do not suitably and effectively consider…

math.OC2020

Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM

Jun Ma, Zilong Cheng, Xiaoxue Zhang +2

The H2 guaranteed cost decentralized control problem is investigated in this work. More specifically, on the basis of an appropriate H2 re-formulation that we put in place, the opt…