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Papers matching “nonlinear models” 132

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Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Shahed Rezaei, Ahmad Moeineddin

1

citations
Deriving models of change with interpretable parameters: linear estimation with nonlinear inference
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick

4

citations
A tutorial on formalizing and testing specific psychological theory using nonlinear models
2024 preprint Decision Sciences Psychometric Methodologies and Testing Open access

Ethan Michael McCormick

0

citations
Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Tai Xuan Tan, Alexander Mitsos, Eike Cramer

0

citations
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
2023 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos

0

citations
Nonlinear Scales in Luminal Horndeski -- I. Halo mass function and power spectrum boost in models with Vainshtein screening
2026 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Dani de Boe, Mattia Pantiri, Gen Ye, Alessandra Silvestri

0

citations
Electric Machine Co-Optimization: System Design Process Using Bayesian Optimization and Nonlinear Model Predictive Control
2024 SSRN Electronic Journal preprint Engineering Electric and Hybrid Vehicle Technologies Open access

Christoph Wellmann, Abdul Rahman Khaleel, Tobias Brinkmann, Alexander Wahl, Christian Monissen, Markus Eisenbarth, +1 more

0

citations
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines : A Simulation Study
2022 RWTH Publications (RWTH Aachen) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, +1 more

2

citations
Component based model order reduction with mortar tied contact for nonlinear quasi-static mechanical problems
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Stephan Ritzert, Jannick Kehls, Stefanie Reese, Tim Brepols

1

citations
Wilton-type gravity–capillary ripples forced by nonlinear internal solitary waves near the critical Bond number: a coupled Gardner–Kawahara model and ETDRK4 spectral simulations
2026 SSRN Electronic Journal preprint Physics and Astronomy Nonlinear Waves and Solitons Open access

Dong Feng

0

citations
A nonlinear model of compaction drum: from chaotic behavior prediction to delayed feedback active control
2025 SSRN Electronic Journal preprint Physics and Astronomy Chaos control and synchronization Open access

0

citations
Extreme data compression for Bayesian model comparison
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Alan Heavens, Arrykrishna Mootoovaloo, Roberto Trotta, Elena Sellentin

0

citations
End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen

0

citations
Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
2020 preprint Environmental Science Membrane Separation Technologies Open access

Matthias Weßling

1

citations
Constructing far-from-equilibrium patterns in a cross-diffusion vegetation-autotoxicity model
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Annalisa Iuorio, Cinzia Soresina, Frits Veerman

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Adaptive sample size determination for the development of clinical prediction models
2020 Research Square preprint Mathematics Statistical Methods in Epidemiology Open access

Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria M. Wanitschek, Ewout Willem Steyerberg, +1 more

1

citations
Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Ahmed Elkhashap, Dirk Abel

0

citations
A model-independent reconstruction of the matter power spectrum
2024 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

2

citations
Designing synthetic communities with organism-free modular computational models
2022 ChemRxiv preprint Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Anna Matuszyńska, Oliver Ebenhöh, Matias Daniel Zurbriggen, Daniel C. Ducat, Ilka Maria IM Axmann

0

citations
Optimal Scaling transformations to model non-linear relations in GLMs with ordered and unordered predictors
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Applications Open access

Sanne J. W. Willems, Anita J. van der Kooij, Jacqueline J. Meulman

0

citations
Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alessandro Riccardi, Thom Badings, Luca Laurenti, Alessandro Abate, Bart De Schutter

0

citations
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon

0

citations
Automatic nonlinear MPC approximation with closed-loop guarantees
2023 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler

1

citations
Discrete Empirical Interpolation Method for nonlinear softening problems involving damage and plasticity
2023 RWTH Publications (RWTH Aachen) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Steffen Kastian, Jannick Kehls, Tim Brepols, Stefanie Reese

1

citations