7 citations · 7 across the 2 of their papers we have counts for
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.SY2016★ 7 cited
On kernel design for regularized LTI system identification
Tianshi Chen
There are two key issues for the kernel-based regularization method: one is how to design a suitable kernel to embed in the kernel the prior knowledge of the LTI system to be ident…