2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Transmission Neural Networks: Approximate Receding Horizon Control for Virus Spread on Networks
Shuang Gao, Peter E. Caines
Transmission Neural Networks (TransNNs) proposed by Gao and Caines (2022) serve as both virus spread models over networks and neural network models with tuneable activation functio…
Transmission Neural Networks: Approximation and Optimal Control
Shuang Gao, Peter E. Caines
Transmission Neural Networks (TransNNs) introduced by Gao and Caines (2022) connect virus spread models over networks and neural networks with tuneable activation functions. This p…
Comparative Analysis of Learning-Based Methods for Transient Stability Assessment
Xingjian Wu, Xiaoting Wang, Xiaozhe Wang +2
Transient stability and critical clearing time (CCT) are important concepts in power system protection and control. This paper explores and compares various learning-based methods…
LQG Graphon Mean Field Games: Analysis via Graphon Invariant Subspaces
Shuang Gao, Peter E. Caines, Minyi Huang
This paper studies approximate solutions to large-scale linear quadratic stochastic games with homogeneous nodal dynamics parameters and heterogeneous network couplings within the…