75 citations · 168 across the 27 of their papers we have counts for
34 papers
Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks
Mars Liyao Gao, Jan P. Williams, J. Nathan Kutz
Modeling real-world spatio-temporal data is exceptionally difficult due to inherent high dimensionality, measurement noise, partial observations, and often expensive data collectio…
Reservoir computing for system identification and predictive control with limited data
Jan P. Williams, J. Nathan Kutz, Krithika Manohar
Model predictive control (MPC) is an industry standard control technique that iteratively solves an open-loop optimization problem to guide a system towards a desired state or traj…
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight
Oliver Bensch, Leonie Bensch, Tommy Nilsson +5
As humanity prepares for new missions to the Moon and Mars, astronauts will need to operate with greater autonomy, given the communication delays that make real-time support from E…
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
Doris Voina, Steven Brunton, J. Nathan Kutz
A significant challenge in many fields of science and engineering is making sense of time-dependent measurement data by recovering governing equations in the form of differential e…
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues
Oliver Bensch, Leonie Bensch, Tommy Nilsson +5
This paper describes the capabilities and potential of the intelligent personal assistant (IPA) CORE (Checklist Organizer for Research and Exploration), designed to support astrona…
Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors
Stefano Riva, Carolina Introini, Antonio Cammi +1
Reliable, real-time state estimation in nuclear reactors is of critical importance for monitoring, control and safety. It further empowers the development of digital twins that are…