activity
20132024
most citedImproved Discrete-Time Kalman Filtering within Singular Value Decomposition

47 citations · 118 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2024★ 11 cited

UD-based pairwise and MIMO Kalman-like filtering for estimation of econometric model structures

Maria V. Kulikova, Julia V. Tsyganova, Gennady Yu. Kulikov

One of the modern research lines in econometrics studies focuses on translating a wide variety of structural econometric models into their state-space form, which allows for effici…

eess.SY2016★ 31 cited

SVD-based Kalman Filter Derivative Computation

Julia V. Tsyganova, Maria V. Kulikova

Recursive adaptive filtering methods are often used for solving the problem of simultaneous state and parameters estimation arising in many areas of research. The gradient-based sc…

eess.SY2016★ 29 cited

State Sensitivity Evaluation Within UD Based Array Covariance Filters

Julia V. Tsyganova, Maria V. Kulikova

This technical note addresses the UD factorization based Kalman filtering (KF) algorithms. Using this important class of numerically stable KF schemes, we extend its functionality…

math.OC2016★ 47 cited

Improved Discrete-Time Kalman Filtering within Singular Value Decomposition

Maria V. Kulikova, Julia V. Tsyganova

The paper presents a new Kalman filter (KF) implementation useful in applications where the accuracy of numerical solution of the associated Riccati equation might be crucially red…

math.OC2013

Constructing numerically stable Kalman filter-based algorithms for gradient-based adaptive filtering

Maria V. Kulikova, Julia V. Tsyganova

This paper addresses the numerical aspects of adaptive filtering (AF) techniques for simultaneous state and parameters estimation arising in the design of dynamic positioning syste…