Publications of Pawan Kumar Goyal
All genres
Journal Article (32)
2021
Journal Article
54 (2), pp. 486 - 497 (2021)
Tomographic X-ray Scattering based on Invariant Reconstruction: Analysis of the 3D Nanostructure of Bovine Bone. Journal of Applied Crystallography
Journal Article
12 (1), pp. 1 - 28 (2021)
Low-Dimensional Approximations of High-Dimensional Asset Price Models. SIAM Journal on Financial Mathematics
Journal Article
93 (8), pp. 2803 - 2821 (2021)
Learning Reduced-order Dynamics for Parametrized Shallow Water Equations from Data. International Journal for Numerical Methods in Fluids 2020
Journal Article
372, 113433, 17 pages (2020)
Operator Inference for Non-Intrusive Model Reduction of Systems with Non-Polynomial Nonlinear Terms. Computer Methods in Applied Mechanics and Engineering
Journal Article
143, 104741, 9 pages (2020)
Identification of Port-Hamiltonian Systems from Frequency Response Data. Systems & Control Letters 2019
Journal Article
355, pp. 184 - 197 (2019)
Time-Limited H2-Optimal Model Order Reduction. Applied Mathematics and Computation
Journal Article
3 (3), pp. 535 - 540 (2019)
Balanced Truncation for a Special Class of Bilinear Descriptor Systems. IEEE Control Systems Letters 2018
Journal Article
39 (2), pp. 983 - 1032 (2018)
H2-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems. SIAM Journal on Matrix Analysis and Applications 2017
Journal Article
315, pp. 303 - 318 (2017)
Krylov Subspace-Based Model Reduction for a Class of Bilinear Descriptor Systems. Journal of Computational and Applied Mathematics
Journal Article
97 (10), pp. 1252 - 1267 (2017)
Moment-Matching Based Model Reduction for Navier–Stokes Type Quadratic-Bilinear Descriptor Systems. Zeitschrift für Angewandte Mathematik und Mechanik
Journal Article
106, pp. 777 - 784 (2017)
POD-DEIM for Efficient Reduction of a Dynamic 2D Catalytic Reactor Model. Computers & Chemical Engineering 2016
Journal Article
97, pp. 1 - 11 (2016)
Multipoint Interpolation of Volterra Series and H2-Model Reduction for a Family of Bilinear Descriptor Systems. Systems & Control Letters Book Chapter (2)
2025
Book Chapter
Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference. In: Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 1. ENUMATH 2023: European Conference, September 4-8, Lisbon, Portugal, pp. 365 - 376 (Eds. Sequeira, A.; Silvestre, A.; Valtchev, S.; Janela, J.). Springer, Cham (2025)
2022
Book Chapter
Data-Driven Identification of Rayleigh-Damped Second-Order Systems. In: Realization and Model Reduction of Dynamical Systems - A Festschrift in Honor of 70th Birthday of Thanos Antoulas, pp. 255 - 272 (Eds. Beattie, C.; Benner, P.; Embree, M.; Gugercin, S.; Lefteriu, S.). Springer International Publishing, Cham (2022)
Conference Paper (2)
2024
Conference Paper
58 (17), pp. 151 - 156 (2024)
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. MTNS 2024 - 26th International Symposium on Mathematical Theory of Networks and Systems, Cambridge, UK, August 19, 2024 - August 23, 2024. IFAC-PapersOnLine 2023
Conference Paper
23 (1), e202200049, (2023)
A Quadratic Decoder Approach to Nonintrusive Reduced-Order Modeling of Nonlinear Dynamical Systems. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Aachen, Germany, August 15, 2022 - August 19, 2022. Proceedings in Applied Mathematics and Mechanics Thesis - PhD (1)
2018
Thesis - PhD
System-Theoretic Model Order Reduction for Bilinear and Quadratic-Bilinear Control Systems. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)
Preprint (11)
2025
Preprint
On the Representation of Energy-Preserving Quadratic Operators with Application to Operator Inference. (2025)
2024
Preprint
GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations. (2024)
Preprint
Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials. (2024)