2 papers
eess.SY2026
Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems
Rajiv Singh, Mario Sznaier, Lennart Ljung
We present a physics-informed framework for system identification based on randomized stable atomic features. Impulse responses are represented as random superpositions of stable a…
eess.SY2025
On-the-fly Surrogation for Complex Nonlinear Dynamics
E. Javier Olucha, Rajiv Singh, Amritam Das +1
High-fidelity models are essential for accurately capturing nonlinear system dynamics. However, simulation of these models is often computationally too expensive and, due to their…