19 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
Improving Linear State-Space Models with Additional Iterations
Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey +3
An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation…