3 papers
eess.SY2026
Safe Navigation under State Uncertainty: Online Adaptation for Robust Control Barrier Functions
Ersin Das, Rahal Nanayakkara, Xiao Tan +4
Measurements and state estimates are often imperfect in control practice, posing challenges for safety-critical applications, where safety guarantees rely on accurate state informa…
cs.AI2025
The Asymptotic Behavior of Attention in Transformers
Ãlvaro RodrÃguez Abella, João Pedro Silvestre, Paulo Tabuada
The transformer architecture has become the foundation of modern Large Language Models (LLMs), yet its theoretical properties are still not well understood. As with classic neural…
eess.SY2025
Safety Under State Uncertainty: Robustifying Control Barrier Functions
Rahal Nanayakkara, Aaron D. Ames, Paulo Tabuada
Safety-critical control is a crucial aspect of modern systems, and Control Barrier Functions (CBFs) have gained popularity as the framework of choice for ensuring safety. However,…