3 citations · 5 across the 8 of their papers we have counts for
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math.OC2022★ 3 cited
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
Namhoon Cho, Hyo-Sang Shin, Antonios Tsourdos +1
This study presents incremental correction methods for refining neural network parameters or control functions entering into a continuous-time dynamic system to achieve improved so…
cs.LG2022
Bayesian Learning Approach to Model Predictive Control
Namhoon Cho, Seokwon Lee, Hyo-Sang Shin +1
This study presents a Bayesian learning perspective towards model predictive control algorithms. High-level frameworks have been developed separately in the earlier studies on Baye…
cs.LG2022★ 2 cited
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
Namhoon Cho, Hyo-Sang Shin
This study presents a policy optimisation framework for structured nonlinear control of continuous-time (deterministic) dynamic systems. The proposed approach prescribes a structur…