Publications of Pawan Kumar Goyal
All genres
Talk (14)
41.
Talk
Algebraic Gramians for Quadratic-Bilinear Systems and their Application in Model Order Reduction. 22nd International Symposium on Mathematical Theory of Networks and Systems, Minnesota, USA (2016)
42.
Talk
Balanced Truncation Model Reduction for Quadratic-Linear Systems. Model Reduction of Parametrized Systems III (MoRePaS 2015), Trieste, Italy (2015)
43.
Talk
Model order reduction of stokes-type bilinear descriptor systems. Recent trends and future developments in Computational Science & Engineering, Plön, Germany (2015)
44.
Talk
Interpolary Model Reduction for Stokes-type Quadratic-Bilinear Systems. International Conference on Scientific Computation And Differential Equations 2015 (SciCADE 2015), Potsdam, Germany (2015)
45.
Talk
Interpolatory Model Order Reduction for Bilinear Descriptor Systems. Reduced Basis Summer School 2014, Münster, Germany (2014)
Poster (2)
46.
Poster
Optimization and Reduced Order Modeling of CO2 Methanation Reactors. KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization", Renningen, Germany (2016)
47.
Poster
Interpolatory model reduction for bilinear descriptor systems. Workshop on Model Reduction, Pilsen, Czech Republic (2015)
Thesis - PhD (1)
48.
Thesis - PhD
System-Theoretic Model Order Reduction for Bilinear and Quadratic-Bilinear Control Systems. Dissertation, Otto-von-Guericke-Universität, Magdeburg (2018)
Preprint (16)
49.
Preprint
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. (2023)
50.
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
51.
Preprint
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. (2023)
52.
Preprint
Parameterized Interpolation of Passive Systems. (2023)
53.
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
54.
Preprint
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)
55.
Preprint
Rank-Minimizing and Structured Model Inference. (2023)
56.
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
57.
Preprint
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. (2023)
58.
Preprint
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. (2022)
59.
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
60.
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)