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math.OC2026
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…
math.OC2026
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…