111 citations · 240 across the 29 of their papers we have counts for
6 papers · 1 filter
An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards
Ruifan Liu, Hyo-Sang Shin, Binbin Yan +1
In many domains such as transportation and logistics, search and rescue, or cooperative surveillance, tasks are pending to be allocated with the consideration of possible execution…
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…
Estimation of non-symmetric and unbounded region of attraction using shifted shape function and R-composition
Dongyang Li, Dmitry Ignatyev, Antonios Tsourdos +1
A general numerical method using sum of squares programming is proposed to address the problem of estimating the region of attraction (ROA) of an asymptotically stable equilibrium…
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law
Chen Li, Antonios Tsourdos, Weisi Guo
Deep Learning (DL) has transformed the automation of a wide range of industries and finds increasing ubiquity in society. The high complexity of DL models and its widespread adopti…
Two-timescale Resource Allocation for Automated Networks in IIoT
Yanhua He, Yun Ren, Zhenyu Zhou +4
The rapid technological advances of cellular technologies will revolutionize network automation in industrial internet of things (IIoT). In this paper, we investigate the two-times…
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…