19 citations · 19 across the 4 of their papers we have counts for
4 papers
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…
Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
Tianyu Dai, Khaled Aljanaideh, Rong Chen +3
MATLAB(R) releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the System Identification Toolbox(TM). The emphasis has…
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…