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05/22/2023
Multirotor Ensemble Model Predictive Control I: Simulation Experiments
Nonlinear receding horizon model predictive control is a powerful approa...
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05/14/2023
A Stochastic Compound Failure Model for Testing Resilience of Autonomous Fixed-Wing Aircraft I: Formulation and Simulation
This paper presents a simulation process to dynamically emulate the effe...
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12/15/2022
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data
Flooding is one of the most disastrous natural hazards, responsible for ...
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12/02/2022
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning
Modeling the risk of extreme weather events in a changing climate is ess...
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10/21/2021
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
This paper develops an adaptive digital autopilot for a fixed-wing aircr...
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06/21/2021
Learn Like The Pro: Norms from Theory to Size Neural Computation
The optimal design of neural networks is a critical problem in many appl...
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08/22/2020
Informative Neural Ensemble Kalman Learning
In stochastic systems, informative approaches select key measurement or ...
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08/12/2020
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
Systems exhibiting nonlinear dynamics, including but not limited to chao...
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05/31/2020
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics
This paper develops an adaptive autopilot for quadcopters with unknown d...
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03/01/2020
The Sloop System for Individual Animal Identification with Deep Learning
The MIT Sloop system indexes and retrieves photographs from databases of...
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12/11/2019
On Neural Learnability of Chaotic Dynamics
Neural networks are of interest for prediction and uncertainty quantific...
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11/23/2019
Neural Integration of Continuous Dynamics
Neural dynamical systems are dynamical systems that are described at lea...
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11/13/2017