32 citations · 32 across the 5 of their papers we have counts for
5 papers
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation
Artem Mustaev, Nicholas Galioto, Matt Boler +3
This paper introduces a novel approach to detect and address faulty or corrupted external sensors in the context of inertial navigation by leveraging a switching Kalman Filter comb…
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling
Nicholas Galioto, Harsh Sharma, Boris Kramer +1
This paper presents a structure-preserving Bayesian approach for learning nonseparable Hamiltonian systems using stochastic dynamic models allowing for statistically-dependent, vec…
Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification
Nicholas Galioto, Alex Arkady Gorodetsky
This paper considers the problem of system identification (ID) of linear and nonlinear non-autonomous systems from noisy and sparse data. We propose and analyze an objective functi…
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky +1
This paper proposes a probabilistic Bayesian formulation for system identification (ID) and estimation of nonseparable Hamiltonian systems using stochastic dynamic models. Nonsepar…
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty
Nicholas Galioto, Alex Gorodetsky
We evaluate the robustness of a probabilistic formulation of system identification (ID) to sparse, noisy, and indirect data. Specifically, we compare estimators of future system be…