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2020 – today
- 2021
[j7]Maria V. Kulikova
, Julia V. Tsyganova, Gennady Yu. Kulikov:
SVD-based state and parameter estimation approach for generalized Kalman filtering with application to GARCH-in-Mean estimation. J. Comput. Appl. Math. 387: 112487 (2021)- 2020
- [j6]Julia V. Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov:
A general approach for designing the MWGS-based information-form Kalman filtering methods. Eur. J. Control 56: 86-97 (2020) - [j5]Maria V. Kulikova, Julia V. Tsyganova, Gennady Yu. Kulikov:
UD-Based Pairwise and MIMO Kalman-Like Filtering for Estimation of Econometric Model Structures. IEEE Trans. Autom. Control. 65(10): 4472-4479 (2020) - [c9]Innokentiy V. Semushin, Julia V. Tsyganova:
Numerically Implementing the API Based Solution to Learn a Plant Dynamics for Stochastic Control Concurrently. ECC 2020: 1105-1110 - [c8]Maria V. Kulikova, Julia V. Tsyganova:
Numerically Robust Maximum Correntropy Criterion Kalman Filtering Using the UD Covariance Factorization Approach. ECC 2020: 1383-1388 - [c7]Andrey V. Tsyganov, Julia V. Tsyganova, Tatiana N. Kureneva:
UD-based Linear Filtering for Discrete-Time Systems with Multiplicative and Additive Noises. ECC 2020: 1389-1394
2010 – 2019
- 2019
- [c6]Julia V. Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov:
Some New Array Information Formulations of the UD-based Kalman Filter. ECC 2019: 1872-1877 - 2017
- [j4]Julia V. Tsyganova, Maria V. Kulikova:
SVD-Based Kalman Filter Derivative Computation. IEEE Trans. Autom. Control. 62(9): 4869-4875 (2017) - 2016
- [j3]Maria V. Kulikova, Julia Tsyganova:
A unified square-root approach for the score and Fisher information matrix computation in linear dynamic systems. Math. Comput. Simul. 119: 128-141 (2016) - [c5]Maria V. Kulikova, Julia V. Tsyganova, Innokentiy V. Semushin:
Adaptive wave filtering for marine vessels within UD-based algorithms. ECC 2016: 807-812 - [c4]Innokentiy V. Semushin, Julia Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov, Andrey Peskov:
Identification of human body daily temperature dynamics via minimum state prediction error method. ECC 2016: 2429-2434 - [i3]Maria V. Kulikova, Julia V. Tsyganova:
Improved Discrete-Time Kalman Filtering within Singular Value Decomposition. CoRR abs/1611.03686 (2016) - [i2]Julia V. Tsyganova, Maria V. Kulikova:
State Sensitivity Evaluation Within UD Based Array Covariance Filters. CoRR abs/1611.08273 (2016) - [i1]Julia V. Tsyganova, Maria V. Kulikova:
SVD-based Kalman Filter Derivative Computation. CoRR abs/1612.04777 (2016) - 2014
- [j2]Maria V. Kulikova, Julia V. Tsyganova:
A general approach to constructing parameter identification algorithms in the class of square root filters with orthogonal and J-orthogonal tranformations. Autom. Remote. Control. 75(8): 1402-1419 (2014) - 2013
- [j1]Julia Tsyganova, Maria V. Kulikova:
State Sensitivity Evaluation Within UD Based Array Covariance Filters. IEEE Trans. Autom. Control. 58(11): 2944-2950 (2013)
2000 – 2009
- 2003
- [c3]Innokenti V. Semoushin, Julia Tsyganova, Maria V. Kulikova:
Fault Point Detection with the Bank of Competitive Kalman Filters. International Conference on Computational Science 2003: 417-426 - [c2]Innokenti V. Semoushin, Julia Tsyganova, Vladimir Ugarov:
Computational and Soft Skills Development through the Project Based Learning. International Conference on Computational Science 2003: 1098-1106
1990 – 1999
- 1999
- [c1]I. Semoushiri, Julia Tsyganova:
Auxiliary performance functional approach to adaptive and learning filtering and control. ECC 1999: 533-536
Coauthor Index
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