Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Ravela, Sai"'
Autor:
Saha, Anamitra, Ravela, Sai
In Bangladesh, a nation vulnerable to climate change, accurately quantifying the risk of extreme weather events is crucial for planning effective adaptation and mitigation strategies. Downscaling coarse climate model projections to finer resolutions
Externí odkaz:
http://arxiv.org/abs/2408.11790
The risk of extreme coastal flooding to Bangladesh's low-lying and densely populated coastal regions, already vulnerable to tropical cyclones, remains poorly quantified under a warming climate. Here, using a statistical-physical downscaling approach,
Externí odkaz:
http://arxiv.org/abs/2312.06051
Autor:
Seager, Sara, Petkowski, Janusz J., Huang, Jingcheng, Zhan, Zhuchang, Ravela, Sai, Bains, William
Publikováno v:
Scientific Reports 13.1 (2023): 13576
Waste gas products from technological civilizations may accumulate in an exoplanet atmosphere to detectable levels. We propose nitrogen trifluoride (NF3) and sulfur hexafluoride (SF6) as ideal technosignature gases. Earth life avoids producing or usi
Externí odkaz:
http://arxiv.org/abs/2308.13667
Autor:
Yamaguchi, Erina, Ravela, Sai
Nonlinear receding horizon model predictive control is a powerful approach to controlling nonlinear dynamical systems. However, typical approaches that use the Jacobian, adjoint, and forward-backward passes may lose fidelity and efficacy for highly n
Externí odkaz:
http://arxiv.org/abs/2305.12625
Autor:
Cooper, Thelonious, Ravela, Sai
This paper presents a Markov chain model to dynamically emulate the effects of adverse (failure) flight conditions on fixed-wing, autonomous aircraft system actuators. It implements a PX4 Autopilot flight stack module that perturbs the attitude contr
Externí odkaz:
http://arxiv.org/abs/2305.08262
Flooding is one of the most disastrous natural hazards, responsible for substantial economic losses. A predictive model for flood-induced financial damages is useful for many applications such as climate change adaptation planning and insurance under
Externí odkaz:
http://arxiv.org/abs/2212.08660
Autor:
Saha, Anamitra, Ravela, Sai
Modeling the risk of extreme weather events in a changing climate is essential for developing effective adaptation and mitigation strategies. Although the available low-resolution climate models capture different scenarios, accurate risk assessment f
Externí odkaz:
http://arxiv.org/abs/2212.01446
Autor:
Saha, Anamitra1 (AUTHOR) anamitra@mit.edu, Ravela, Sai1 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Jun2024, Vol. 16 Issue 6, p1-17. 17p.
Autor:
Lee, Joonghyun, Spencer, John, Paredes, Juan Augusto, Ravela, Sai, Bernstein, Dennis S., Goel, Ankit
This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive digital autopilot is constructed by augmenting the autopilot architecture implemented in PX4 flight sta
Externí odkaz:
http://arxiv.org/abs/2110.11390