1 citations · 1 across the 7 of their papers we have counts for
8 papers
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…
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
Turki Bin Mohaya, Peter Seiler
Attention mechanisms excel at learning sequential patterns by discriminating data based on relevance and importance. This provides state-of-the-art performance in advanced generati…
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…
Safety Filter for Robust Disturbance Rejection via Online Optimization
Joyce Lai, Peter Seiler
Disturbance rejection in high-precision control applications can be significantly improved upon via online convex optimization (OCO). This includes classical techniques such as rec…
Stability Margins of Neural Network Controllers
Neelay Junnarkar, Murat Arcak, Peter Seiler
We present a method to train neural network controllers with guaranteed stability margins. The method is applicable to linear time-invariant plants interconnected with uncertaintie…
Robust Online Convex Optimization for Disturbance Rejection
Joyce Lai, Peter Seiler
Online convex optimization (OCO) is a powerful tool for learning sequential data, making it ideal for high precision control applications where the disturbances are arbitrary and u…
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
Neelay Junnarkar, Murat Arcak, Peter Seiler
This paper presents a method to synthesize neural network controllers to maximize reward subject to the hard constraint that the feedback system of plant and controller be dissipat…
Single Molecule Studies Under Constant Force Using Model Based Robust Control Design
Shreyas Bhaban, Saurav Talukdar, Mingang Li +3
Optical tweezers have enabled important insights into intracellular transport through the investigation of motor proteins, with their ability to manipulate particles at the microsc…