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Pawan Goyal 0003
Person information
- affiliation (PhD 2018): Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
Other persons with the same name
- Pawan Goyal 0001 — IBM Almaden Research Center, San Jose, CA, USA (and 3 more)
- Pawan Goyal 0002
— Indian Institute of Technology, Kharagpur, Department of Computer Science and Engineering, India (and 2 more)
- Pawan Goyal 0004 — Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
- [j14]Pawan Goyal
Dominant subspaces of high-fidelity polynomial structured parametric dynamical systems and model reduction. Adv. Comput. Math. 50(3): 42 (2024) - [j13]Peter Benner
Balanced truncation for quadratic-bilinear control systems. Adv. Comput. Math. 50(4): 88 (2024) - [j12]Peter Benner
Parameterized Interpolation of Passive Systems. SIAM J. Matrix Anal. Appl. 45(2): 1035-1053 (2024) - [j11]Pawan Goyal
Rank-Minimizing and Structured Model Inference. SIAM J. Sci. Comput. 46(3): 1879- (2024) - [i31]Ion Victor Gosea, Luisa Peterson, Pawan Goyal, Jens Bremer, Kai Sundmacher, Peter Benner:
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference. CoRR abs/2402.17698 (2024) - [i30]Igor Pontes Duff, Pawan Goyal, Peter Benner:
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. CoRR abs/2403.00646 (2024) - [i29]Mohammad Khorrami, Pawan Goyal, Jaber Rezaei Mianroodi, Bob Svendsen, Peter Benner, Dierk Raabe:
Divergence-free neural operators for stress field modeling in polycrystalline materials. CoRR abs/2408.15408 (2024) - [i28]Celine Reddig, Pawan Goyal, Igor Pontes Duff, Peter Benner:
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. CoRR abs/2409.03892 (2024) - [i27]Süleyman Yildiz, Pawan Goyal, Peter Benner:
Structure-preserving learning for multi-symplectic PDEs. CoRR abs/2409.10432 (2024) - 2023
- [i26]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. CoRR abs/2301.09484 (2023) - [i25]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Inference of Continuous Linear Systems from Data with Guaranteed Stability. CoRR abs/2301.10060 (2023) - [i24]Pawan Goyal, Benjamin Peherstorfer, Peter Benner:
Rank-Minimizing and Structured Model Inference. CoRR abs/2302.09521 (2023) - [i23]Süleyman Yildiz, Pawan Goyal, Thomas Bendokat, Peter Benner:
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. CoRR abs/2308.01084 (2023) - [i22]Süleyman Yildiz, Pawan Goyal, Peter Benner:
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. CoRR abs/2308.02625 (2023) - [i21]Peter Benner, Pawan Goyal, Paul Van Dooren:
Parameterized Interpolation of Passive Systems. CoRR abs/2308.03500 (2023) - [i20]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. CoRR abs/2308.13819 (2023) - [i19]Pawan Goyal, Süleyman Yildiz, Peter Benner:
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. CoRR abs/2308.13835 (2023) - [i18]Ali Forootani, Pawan Goyal, Peter Benner:
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. CoRR abs/2309.07193 (2023) - 2022
- [j10]Peter Benner
Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems With Quadratic Outputs. IEEE Trans. Autom. Control. 67(2): 886-893 (2022) - [d1]Jan Heiland
Operator Inference for Quadratic Manifold Encodings. Zenodo, 2022 - [i17]Pawan Goyal, Peter Benner:
Neural ODEs with Irregular and Noisy Data. CoRR abs/2205.09479 (2022) - [i16]Pawan Goyal, Peter Benner:
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. CoRR abs/2211.00357 (2022) - 2021
- [j9]Martin Redmann, Christian Bayer
Low-Dimensional Approximations of High-Dimensional Asset Price Models. SIAM J. Financial Math. 12(1): 1-28 (2021) - [j8]Peter Benner
Interpolation-Based Model Order Reduction for Polynomial Systems. SIAM J. Sci. Comput. 43(1): A84-A108 (2021) - [i15]Pawan Goyal, Peter Benner:
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. CoRR abs/2103.02249 (2021) - [i14]Pawan Goyal, Peter Benner:
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach. CoRR abs/2105.04869 (2021) - [i13]Karim Cherifi, Pawan Goyal, Peter Benner:
A Greedy Data Collection Scheme For Linear Dynamical Systems. CoRR abs/2107.12950 (2021) - [i12]Pawan Goyal, Peter Benner:
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. CoRR abs/2109.11446 (2021) - [i11]Pawan Goyal, Peter Benner:
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. CoRR abs/2111.12995 (2021) - 2020
- [j7]Peter Benner, Pawan Goyal
Identification of port-Hamiltonian systems from frequency response data. Syst. Control. Lett. 143: 104741 (2020) - [i10]Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox:
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms. CoRR abs/2002.09726 (2020) - [i9]Pawan Goyal, Hussam Al Daas, Peter Benner:
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. CoRR abs/2003.05698 (2020) - [i8]Martin Redmann, Christian Bayer, Pawan Goyal:
Low-dimensional approximations of high-dimensional asset price models. CoRR abs/2003.06928 (2020) - [i7]Karim Cherifi, Pawan Goyal, Peter Benner:
A Non-Intrusive Method to Inferring Linear Port-Hamiltonian Realizations using Time-Domain Data. CoRR abs/2005.09371 (2020) - [i6]Süleyman Yildiz, Pawan Goyal, Peter Benner, Bülent Karasözen:
Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation. CoRR abs/2007.14079 (2020) - [i5]Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff:
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. CoRR abs/2010.06701 (2020)
2010 – 2019
- 2019
- [j6]Pawan Goyal
Time-limited H2-optimal model order reduction. Appl. Math. Comput. 355: 184-197 (2019) - [j5]Igor Pontes Duff
Balanced Truncation for a Special Class of Bilinear Descriptor Systems. IEEE Control. Syst. Lett. 3(3): 535-540 (2019) - [i4]Peter Benner, Pawan Goyal
Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs. CoRR abs/1909.04597 (2019) - [i3]Igor Pontes Duff, Pawan Goyal
Data-Driven Identification of Rayleigh-Damped Second-Order Systems. CoRR abs/1910.00838 (2019) - [i2]Peter Benner, Pawan Goyal
Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction. CoRR abs/1910.13945 (2019) - [i1]Peter Benner, Pawan Goyal
Identification of Port-Hamiltonian Systems from Frequency Response Data. CoRR abs/1911.00080 (2019) - 2018
- [j4]Peter Benner, Pawan Goyal
H2-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems. SIAM J. Matrix Anal. Appl. 39(2): 983-1032 (2018) - 2017
- [j3]Jens Bremer
POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model. Comput. Chem. Eng. 106: 777-784 (2017) - [j2]Mian Ilyas Ahmad, Peter Benner
Krylov subspace-based model reduction for a class of bilinear descriptor systems. J. Comput. Appl. Math. 315: 303-318 (2017) - 2016
- [j1]Peter Benner
Multipoint interpolation of Volterra series and H2-model reduction for a family of bilinear descriptor systems. Syst. Control. Lett. 97: 1-11 (2016) - 2015
- [c1]Pawan Goyal
Model reduction of quadratic-bilinear descriptor systems via Carleman bilinearization. ECC 2015: 1177-1182
Coauthor Index
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