Zobrazeno 1 - 10
of 4 654
pro vyhledávání: '"Pare, P."'
We study the impact of parameter estimation and state measurement errors on a control framework for optimally mitigating the spread of epidemics. We capture the epidemic spreading process using a susceptible-infected-removed (SIR) epidemic model and
Externí odkaz:
http://arxiv.org/abs/2408.03447
Autor:
Paré, Robert
We establish a calculus of differences for taut endofunctors of the category of sets, analogous to the classical calculus of finite differences for real valued functions. We study how the difference operator interacts with limits and colimits as cate
Externí odkaz:
http://arxiv.org/abs/2407.21129
In this work, we first show that the problem of parameter identification is often ill-conditioned and lacks the persistence of excitation required for the convergence of online learning schemes. To tackle these challenges, we introduce the notion of
Externí odkaz:
http://arxiv.org/abs/2406.10349
Autor:
Datar, Mandar, Hegde, Dhruva S., Prasad, Vendra Durga, Prajapati, Manish, Manikanta, Neralla, Gupta, Devansh, Pavanija, Janampalli, Pare, Pratyush, Akash, Gupta, Shivam, Patkar, Sachin B.
We have designed a Python-based Domain Specific Language (DSL) for modeling synchronous digital circuits. In this DSL, hardware is modeled as a collection of transactions -- running in series, parallel, and loops. When the model is executed by a Pyth
Externí odkaz:
http://arxiv.org/abs/2406.09208
Autor:
Dumas, Marie Frédérique, Groleau-Paré, Benjamin, McDonald, Alexander, Muñoz-Arias, Manuel H., Lledó, Cristóbal, D'Anjou, Benjamin, Blais, Alexandre
Despite the high measurement fidelity that can now be reached, the dispersive qubit readout of circuit quantum electrodynamics is plagued by a loss of its quantum nondemolition character and a decrease in fidelity with increased measurement strength.
Externí odkaz:
http://arxiv.org/abs/2402.06615
Model predictive control (MPC) has been shown to significantly improve the energy efficiency of buildings while maintaining thermal comfort. Data-driven approaches based on neural networks have been proposed to facilitate system modelling. However, s
Externí odkaz:
http://arxiv.org/abs/2401.15742
Autor:
Paré, Dylan, Butterfield, Natalie O., Chuss, David T., Guerra, Jordan A., Iuliano, Jeffrey I., Karpovich, Kaitlyn, Morris, Mark R., Wollack, Edward
Publikováno v:
ApJ 969 (2024) 150
We present the second data release (DR2) of the Far-Infrared Polarimetric Large-Area CMZ Exploration (FIREPLACE) survey. This survey utilized the Stratospheric Observatory for Infrared Astronomy (SOFIA) High-resolution Airborne Wideband Camera plus (
Externí odkaz:
http://arxiv.org/abs/2401.05317
Autor:
Butterfield, Natalie O., Guerra, Jordan A., Chuss, David T., Morris, Mark R., Pare, Dylan, Wollack, Edward J., Costa, Allison H., Hankins, Matthew J., Staguhn, Johannes, Zweibel, Ellen
We present the detection of a magnetized dust ring (M0.8-0.2) in the Central Molecular Zone (CMZ) of the Galactic Center. The results presented in this paper utilize the first data release (DR1) of the Far-Infrared Polarimetric Large Area CMZ Explora
Externí odkaz:
http://arxiv.org/abs/2401.01983
Modeling and prediction of epidemic spread are critical to assist in policy-making for mitigation. Therefore, we present a new method based on Gaussian Process Regression to model and predict epidemics, and it quantifies prediction confidence through
Externí odkaz:
http://arxiv.org/abs/2312.09384
The safe control of multi-robot swarms is a challenging and active field of research, where common goals include maintaining group cohesion while simultaneously avoiding obstacles and inter-agent collision. Building off our previously developed theor
Externí odkaz:
http://arxiv.org/abs/2311.11156