3 citations · 3 across the 4 of their papers we have counts for
4 papers
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Trinh Tran, Binh Nguyen, Truong X. Nghiem
Scenario-based model predictive control (SBMPC) is a variant of model predictive control (MPC) that explicitly accounts for uncertainty by optimizing control actions over multiple…
Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
Binh Nguyen, Nam T. Nguyen, Truong X. Nghiem
This paper investigates the problem of data-driven modeling of port-Hamiltonian systems while preserving their intrinsic Hamiltonian structure and stability properties. We propose…
HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
Trinh Tran, Binh Nguyen, Truong X. Nghiem
This paper presents HUANet, a constrained deep neural network architecture that unrolls the Alternating Direction Method of Multipliers (ADMM) into a trainable neural network for a…
Dynamic hysteresis model of grain-oriented ferromagnetic material using neural operators
Ziqing Guo, Binh H. Nguyen, Hamed Hamzehbahmani +1
Accurately capturing the behavior of grain-oriented (GO) ferromagnetic materials is crucial for modeling the electromagnetic devices. In this paper, neural operator models, includi…