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Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles


Aug 15, 2022
Wenceslao Shaw Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgoňa, Draguna Vrabie

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* 6 pages, 6 figures, submitted to 12th IFAC Symposium on Nonlinear Control Systems 2022 

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Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach


Aug 03, 2022
Wenceslao Shaw Cortez, Jan Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna Vrabie

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* Accepted to IEEE Conference on Decision and Control Conference 2022 

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Structural Inference of Networked Dynamical Systems with Universal Differential Equations


Jul 11, 2022
James Koch, Zhao Chen, Aaron Tuor, Jan Drgona, Draguna Vrabie

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Neural Lyapunov Differentiable Predictive Control


May 22, 2022
Sayak Mukherjee, Ján Drgoňa, Aaron Tuor, Mahantesh Halappanavar, Draguna Vrabie

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* 8 pages; 9 figures 

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Neuro-physical dynamic load modeling using differentiable parametric optimization


Mar 20, 2022
Shrirang Abhyankar, Jan Drgona, Andrew August, Elliot Skomski, Aaron Tuor

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* 7 pages, 9 figures 

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Neural Ordinary Differential Equations for Nonlinear System Identification


Mar 15, 2022
Aowabin Rahman, Ján Drgoňa, Aaron Tuor, Jan Strube

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Learning Stochastic Parametric Differentiable Predictive Control Policies


Mar 02, 2022
Ján Drgoňa, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna Vrabie

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Deep Learning Explicit Differentiable Predictive Control Laws for Buildings


Jul 25, 2021
Jan Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna Vrabie

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Prototypical Region Proposal Networks for Few-Shot Localization and Classification


Apr 08, 2021
Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas

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* 9 pages, 1 figure. Submitted to 4th Workshop on Meta-Learning at NeurIPS 2020 

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