1 citations · 1 across the 6 of their papers we have counts for
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Generalizable Output Feedback Optimal Control via Transformers Without Explicit State Estimation
Maitham F. AL-Sunni, Turki Bin Mohaya, John M. Dolan +1
Classical optimal control is used to design a separate controller for each plant. This paper asks a different question. Can one learned policy serve a whole family of partially obs…
Self-Shielded Multigroup Microscopic Cross Section Generation Using Targeted Artificial Neural Networks
Joshua Nichols, Andrew Osborne, Ben Whewell +1
Multigroup neutron transport models are used widely in simulation codes due to their memory and compute efficiency compared to continuous energy methods. However, multigroup codes…
LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference
Maitham F. AL-Sunni, Timeea-Andreea Radu, Hassan Almubarak +4
Control barrier functions (CBFs) certify commands through an assumed dynamics model, so an abrupt, unmeasured regime change can undermine the certificate exactly when safety matter…
LLA-MPC on Embedded Hardware: Rapid Adaptive Control with Thousands of Parallel Models
Henry Z. Liao, Maitham F. AL-Sunni, John M. Dolan
We present a generalized implementation of Look-Back and Look-Ahead Adaptive Model Predictive Control (LLA-MPC), a learning-free framework for real-time, rapid adaptive system iden…
Generalizable Optimal Control with Transformers: Closed-Loop Certification and Near-Optimality Guarantees
Turki Bin Mohaya, Maitham F. AL-Sunni, John M. Dolan +1
This letter develops closed-loop performance certificates for a transformer-based feedback policy. The policy is trained to imitate optimal Linear Quadratic Regulator (LQR) control…
Generalizable Optimal Control with Transformers: One Policy Across Diverse Systems
Turki Bin Mohaya, Maitham F. AL-Sunni, John M. Dolan +1
Classical optimal control designs a separate controller for each plant. Even for the Linear Quadratic Regulator (LQR), every new model must be identified and its Riccati equation r…