arXiv:2603.16949v2 Announce Type: replace-cross
Abstract: Mobile Edge Computing (MEC) technology has been introduced to enable could computing at the edge of the network in order to help resource limited mobile devices with time sensitive data process…
arXiv:2603.29882v1 Announce Type: new
Abstract: We present a passive, data-driven velocity control method for nonlinear robotic manipulators that achieves better tracking performance than optimized PID with comparable design complexity. Using only thr…
arXiv:2603.28900v1 Announce Type: cross
Abstract: We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and spoofing via Multi-Agent Reinforcement Learning (MARL). In cooperative surveillance, each air…
arXiv:2603.28965v1 Announce Type: cross
Abstract: This work presents a hybrid physics-informed and data-driven modeling framework for predictive control of autonomous off-road vehicles operating on deformable terrain. Traditional high-fidelity terrame…
arXiv:2603.28917v1 Announce Type: cross
Abstract: This work uncovers variational principles behind symmetrizing the Bregman divergences induced by generic mirror maps over the cone of positive definite matrices. We show that computing the canonical me…
arXiv:2603.28938v1 Announce Type: cross
Abstract: Optimism in the face of uncertainty is a popular approach to balance exploration and exploitation in reinforcement learning. Here, we consider the online linear quadratic regulator (LQR) problem, i.e.,…
arXiv:2603.28971v1 Announce Type: cross
Abstract: Model-based reinforcement learning (MBRL) improves sample efficiency by leveraging learned dynamics models for policy optimization. However, the effectiveness of methods such as actor-critic is often l…
arXiv:2603.29117v1 Announce Type: cross
Abstract: Due to simplicity and strong stability guarantees, predictor feedback methods have stood as a popular approach for time delay systems since the 1950s. For time-varying delays, however, implementation r…
arXiv:2603.29119v1 Announce Type: cross
Abstract: Modern control systems frequently operate under input delays and sampled state measurements. A common delay-compensation strategy is predictor feedback; however, practical implementations require solvi…
arXiv:2603.29255v1 Announce Type: cross
Abstract: Real-time monitoring of inverter-based microgrids is essential for stability, fault response, and operational decision-making. However, electromagnetic transient (EMT) simulations, required to capture …