Publications of Peter Benner
All genres
Preprint (35)
2024
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Gosea, I. V., Peterson, L., Goyal, P. K., , Sundmacher, K., & Benner, P. (in press)Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference.
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, Benner, P., & (in press)Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems.
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Peterson, L., Gosea, I. V., Benner, P., & Sundmacher, K. (2024)Digital Twins in Process Engineering: An Overview on Computational and Numerical MethodsSSRNdoi: 10.2139/ssrn.4747265.
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Pontes Duff, I., Goyal, P. K., & Benner, P. (in press)Stability-Certified Learning of Control Systems with Quadratic Nonlinearities.
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Przybilla, J., Pontes Duff, I., Goyal, P. K., & Benner, P. (in press)Balanced Truncation of Descriptor Systems with a Quadratic Output.
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Veluvali, P., Heiland, J., & Benner, P. (in press)MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments.
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Zuyev, A., Feng, L., & Benner, P. (in press)Estimates of the Kolmogorov n-Width for Nonlinear Transformations with Application to Distributed-Parameter Control Systemssubmitted to IEEE Control Systems Letters.
2023
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Forootani, A., Goyal, P. K., & Benner, P. (in press)A Robust SINDy Approach by Combining Neural Networks and an Integral Form.
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Goyal, P. K., Pontes Duff, I., & Benner, P. (in press)Inference of Continuous Linear Systems from Data with Guaranteed Stability.
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Goyal, P. K., Pontes Duff, I., & Benner, P. (in press)Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference.
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Goyal, P. K., Yildiz, S., & Benner, P. (in press)Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics.
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Kour, K., , Benner, P., , & (in press)A Weighted Subspace Exponential Kernel for Support Tensor Machines.
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, Benner, P., & (in press)Interpolatory H2-Optimality Conditions for Structured Linear Time-invariant Systems.
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, Feng, L., , Miličić, T., Vidaković-Koch, T., & Benner, P. (in press)Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems.
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, Goyal, P. K., & Benner, P. (in press)Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems.
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, Heiland, J., Benner, P., & (in press)Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems.
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Zuyev, A. & Benner, P. (in press)Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs.
2022
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Baran, B., Benner, P., & Saak, J. (in press)Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem.
2021
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Goyal, P. K. & Benner, P. (in press)LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes.
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Goyal, P. K. & Benner, P. (2021)Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta ConstraintThe Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages.