3 papers
math.OC2026
Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
Chao Ning, Han Wang, Longyan Li +1
This paper develops a novel COllaborative-Online-Learning (COOL)-enabled motion control framework for multi-robot systems to avoid collision amid randomly moving obstacles whose mo…
math.OC2025
Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
Jingyi Wu, Chao Ning, Yang Shi
Wasserstein distributionally robust control (DRC) recently emerges as a principled paradigm for handling uncertainty in stochastic dynamical systems. However, it constructs data-dr…
math.OC2025
Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy
Xutao Ma, Chao Ning, Wenli Du +1
This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control p…