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ORCIDMaria V. Kulikova
Maria Vyacheslavovna Kulikova – Мария В. Куликова
Person information
- affiliation: Universidade de Lisboa
- unicode name: Мария В. Куликова
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Journal Articles
- 2024
[j42]Gennady Y. Kulikov
, Maria V. Kulikova:
NIRK-based mixed-type accurate continuous-discrete Gaussian filters with deterministically sampled expectation and covariance for state estimation in continuous-time stochastic process models with discrete measurements. J. Frankl. Inst. 361(7): 106768 (2024)- [j41]Maria V. Kulikova, Gennady Yu. Kulikov:
Euler-Maruyama-Based Data-Driven State Restoration and Parameter Adaptation in Stochastic Neural Fields With Finite Signal Transmission Rate. IEEE Trans. Inf. Theory 70(6): 4571-4581 (2024) - 2023
- [j40]Maria V. Kulikova, Gennady Yu. Kulikov:
Data-driven parameter estimation in stochastic dynamic neural fields by state-space approach and continuous-discrete extended Kalman filtering. Digit. Signal Process. 136: 104010 (2023) - [j39]Maria V. Kulikova, Gennady Yu. Kulikov:
On derivative-free extended Kalman filtering and its Matlab-oriented square-root implementations for state estimation in continuous-discrete nonlinear stochastic systems. Eur. J. Control 73: 100886 (2023) - [j38]Gennady Y. Kulikov, Maria V. Kulikova:
Accuracy analysis of numerical simulations and noisy data assimilations in two-dimensional stochastic neural fields with infinite signal transmission speed. J. Frankl. Inst. 360(1): 176-202 (2023) - 2022
- [j37]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods. Autom. 142: 110396 (2022) - [j36]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Sequential method for fast neural population activity reconstruction in the cortex from incomplete noisy measurements. Comput. Biol. Medicine 141: 105103 (2022) - [j35]Maria V. Kulikova, Gennady Yu. Kulikov:
Estimation of market efficiency process within time-varying autoregressive models by extended Kalman filtering approach. Digit. Signal Process. 128: 103619 (2022) - [j34]Gennady Yu. Kulikov, Maria Vyacheslavovna Kulikova:
Overall hyperbolic-singular-value-decomposition-based square-root solutions in Kalman filters with deterministically sampled mean and covariance for state estimation in continuous-discrete nonlinear stochastic systems. Eur. J. Control 66: 100648 (2022) - [j33]Gennady Yu. Kulikov, Maria V. Kulikova:
Hyperbolic-SVD-Based Square-Root Unscented Kalman Filters in Continuous-Discrete Target Tracking Scenarios. IEEE Trans. Autom. Control. 67(1): 366-373 (2022) - 2021
- [j32]Gennady Yu. Kulikov, Maria V. Kulikova:
Ito^-Taylor-based square-root unscented Kalman filtering methods for state estimation in nonlinear continuous-discrete stochastic systems. Eur. J. Control 58: 101-113 (2021) - [j31]Maria V. Kulikova, Gennady Y. Kulikov:
MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods. Eur. J. Control 59: 1-12 (2021) - [j30]Gennady Yu. Kulikov, Maria Vyacheslavovna Kulikova:
Square-root high-degree cubature Kalman filters for state estimation in nonlinear continuous-discrete stochastic systems. Eur. J. Control 59: 58-68 (2021) - [j29]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) - [j28]Gennady Yu. Kulikov, Pedro Miguel Lima, Maria V. Kulikova:
Numerical solution of the neural field equation in the presence of random disturbance. J. Comput. Appl. Math. 387: 112563 (2021) - 2020
- [j27]Maria V. Kulikova, Gennady Yu. Kulikov:
SVD-based factored-form Cubature Kalman Filtering for continuous-time stochastic systems with discrete measurements. Autom. 120: 109110 (2020) - [j26]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) - [j25]Gennady Y. Kulikov, Maria V. Kulikova:
Square-root accurate continuous-discrete extended-unscented Kalman filtering methods with embedded orthogonal and J-orthogonal QR decompositions for estimation of nonlinear continuous-time stochastic models in radar tracking. Signal Process. 166 (2020) - [j24]Maria V. Kulikova:
Chandrasekhar-Based Maximum Correntropy Kalman Filtering With the Adaptive Kernel Size Selection. IEEE Trans. Autom. Control. 65(2): 741-748 (2020) - [j23]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) - 2019
- [j22]Maria V. Kulikova:
Factored-form Kalman-like implementations under maximum correntropy criterion. Signal Process. 160: 328-338 (2019) - [j21]Maria V. Kulikova:
Square-Root Approach for Chandrasekhar-Based Maximum Correntropy Kalman Filtering. IEEE Signal Process. Lett. 26(12): 1803-1807 (2019) - 2018
- [j20]Gennady Yu. Kulikov, Maria V. Kulikova:
Stability analysis of Extended, Cubature and Unscented Kalman Filters for estimating stiff continuous-discrete stochastic systems. Autom. 90: 91-97 (2018) - [j19]Gennady Y. Kulikov, Maria V. Kulikova:
Estimation of maneuvering target in the presence of non-Gaussian noise: A coordinated turn case study. Signal Process. 145: 241-257 (2018) - 2017
- [j18]Maria V. Kulikova, Gennady Y. Kulikov:
NIRK-based accurate continuous-discrete extended Kalman filters for estimating continuous-time stochastic target tracking models. J. Comput. Appl. Math. 316: 260-270 (2017) - [j17]Gennady Y. Kulikov, Maria V. Kulikova:
Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering. Math. Comput. Simul. 142: 62-81 (2017) - [j16]Maria V. Kulikova:
Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise. Syst. Control. Lett. 108: 8-15 (2017) - [j15]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate continuous-discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking. Signal Process. 139: 25-35 (2017) - [j14]Maria V. Kulikova:
Gradient-Based Parameter Estimation in Pairwise Linear Gaussian System. IEEE Trans. Autom. Control. 62(3): 1511-1517 (2017) - [j13]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate State Estimation in Continuous-Discrete Stochastic State-Space Systems With Nonlinear or Nondifferentiable Observations. IEEE Trans. Autom. Control. 62(8): 4243-4250 (2017) - [j12]Julia V. Tsyganova, Maria V. Kulikova:
SVD-Based Kalman Filter Derivative Computation. IEEE Trans. Autom. Control. 62(9): 4869-4875 (2017) - 2016
- [j11]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) - [j10]Gennady Y. Kulikov, Maria V. Kulikova:
Estimating the State in Stiff Continuous-Time Stochastic Systems within Extended Kalman Filtering. SIAM J. Sci. Comput. 38(6) (2016) - [j9]Gennady Yu. Kulikov, Maria V. Kulikova:
The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking. IEEE Trans. Signal Process. 64(4): 948-958 (2016) - 2015
- [j8]Gennady Yu. Kulikov, Maria V. Kulikova:
High-order accurate continuous-discrete extended Kalman filter for chemical engineering. Eur. J. Control 21: 14-26 (2015) - 2014
- [j7]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) - [j6]Maria V. Kulikova, Gennady Yu. Kulikov:
Adaptive ODE solvers in extended Kalman filtering algorithms. J. Comput. Appl. Math. 262: 205-216 (2014) - [j5]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate Numerical Implementation of the Continuous-Discrete Extended Kalman Filter. IEEE Trans. Autom. Control. 59(1): 273-279 (2014) - 2013
- [j4]Maria V. Kulikova, António Pacheco:
Kalman Filter Sensitivity Evaluation With Orthogonal and J-Orthogonal Transformations. IEEE Trans. Autom. Control. 58(7): 1798-1804 (2013) - [j3]Julia Tsyganova, Maria V. Kulikova:
State Sensitivity Evaluation Within UD Based Array Covariance Filters. IEEE Trans. Autom. Control. 58(11): 2944-2950 (2013) - 2009
- [j2]Maria V. Kulikova:
Maximum likelihood estimation via the extended covariance and combined square-root filters. Math. Comput. Simul. 79(5): 1641-1657 (2009) - [j1]Maria V. Kulikova:
Likelihood Gradient Evaluation Using Square-Root Covariance Filters. IEEE Trans. Autom. Control. 54(3): 646-651 (2009)
Conference and Workshop Papers
- 2022
- [c25]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Pattern Recognition Facilities of Extended Kalman Filtering in Stochastic Neural Fields. ECC 2022: 1061-1066 - [c24]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Accurate Itô-Taylor-Discretization-Based State Estimation in Stochastic Neural Field Equations with Infinite Signal Transmission Rate. ECC 2022: 1436-1441 - 2021
- [c23]Gennady Yu. Kulikov, Maria V. Kulikova:
Self-Adaptive MATLAB-Based Gauss-Hermite Quadrature Filter for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems. ECC 2021: 848-853 - [c22]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Reconstruction of Hidden States in Stochastic Neural Field Equations with Infinite Signal Transmission Rate. ICSTCC 2021: 358-365 - [c21]Maria V. Kulikova, David R. Taylor, Gennady Yu. Kulikov:
Estimating a degree of evolving market efficiency: How efficient is the Romanian stock market? ICSTCC 2021: 665-670 - 2020
- [c20]Maria V. Kulikova, Julia V. Tsyganova:
Numerically Robust Maximum Correntropy Criterion Kalman Filtering Using the UD Covariance Factorization Approach. ECC 2020: 1383-1388 - [c19]Maria V. Kulikova, Gennady Yu. Kulikov, Pedro Miguel Lima:
Accuracy Study in Numerical Simulations to Stochastic Neural Field Equations. ICSTCC 2020: 254-261 - 2019
- [c18]Gennady Yu. Kulikov, Maria V. Kulikova:
The J-Orthogonal Square-Root NIRK-Based Extended-Unscented Kalman Filter for Nonlinear Continuous-Discrete Stochastic Systems. CDC 2019: 373-378 - [c17]Julia V. Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov:
Some New Array Information Formulations of the UD-based Kalman Filter. ECC 2019: 1872-1877 - [c16]Maria V. Kulikova:
One-Step Condensed Forms for Square-Root Maximum Correntropy Criterion Kalman Filtering. ICSTCC 2019: 13-18 - [c15]Gennady Yu. Kulikov, Maria V. Kulikova:
SVD-Based Factored-Form Extended Kalman Filters for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems. ICSTCC 2019: 137-142 - [c14]Gennady Yu. Kulikov, Maria V. Kulikova, Pedro Miguel Lima:
Numerical Simulation of Neural Fields with Finite Transmission Speed and Random Disturbance. ICSTCC 2019: 644-649 - [c13]Maria V. Kulikova, Gennady Yu. Kulikov, Pedro Miguel Lima:
Effective Numerical Solution to Two-Dimensional Stochastic Neural Field Equations. ICSTCC 2019: 650-655 - 2016
- [c12]Maria V. Kulikova, Julia V. Tsyganova, Innokentiy V. Semushin:
Adaptive wave filtering for marine vessels within UD-based algorithms. ECC 2016: 807-812 - [c11]Maria V. Kulikova, Gennady Yu. Kulikov:
On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models. ECC 2016: 1129-1134 - [c10]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering. ECC 2016: 1728-1733 - [c9]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 - 2015
- [c8]Gennady Yu. Kulikov, Maria V. Kulikova:
State estimation in chemical systems with infrequent measurements. ECC 2015: 2688-2693 - [c7]Maria V. Kulikova, Gennady Yu. Kulikov:
A mixed-type accurate continuous-discrete extended-unscented kalman filter for target tracking. ECC 2015: 2824-2829 - [c6]Maria V. Kulikova:
Square-root adaptive Wave Filtering for marine vessels. ECC 2015: 3143-3148 - 2014
- [c5]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate state estimation in the Van der Vusse reaction. CCA 2014: 759-764 - 2013
- [c4]Maria V. Kulikova, Gennady Yu. Kulikov:
Square-root Accurate Continuous-Discrete Extended Kalman Filter for target tracking. CDC 2013: 7785-7790 - 2006
- [c3]Maria V. Kulikova, Innokenti V. Semoushin:
Score Evaluation Within the Extended Square-Root Information Filter. International Conference on Computational Science (1) 2006: 473-481 - 2003
- [c2]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 - [c1]Maria V. Kulikova:
On Effective Computation of the Logarithm of the Likelihood Ratio Function for Gaussian Signals. International Conference on Computational Science 2003: 427-435
Informal and Other Publications
- 2024
- [i11]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations. CoRR abs/2403.04448 (2024) - 2023
- [i10]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods. CoRR abs/2310.04126 (2023) - [i9]Maria V. Kulikova:
One-step condensed forms for square-root maximum correntropy criterion Kalman filtering. CoRR abs/2310.18750 (2023) - [i8]Maria V. Kulikova:
On the stable Cholesky factorization-based method for the maximum correntropy criterion Kalman filtering. CoRR abs/2311.02438 (2023) - [i7]Maria V. Kulikova:
Factored-form Kalman-like implementations under maximum correntropy criterion. CoRR abs/2311.02440 (2023) - 2016
- [i6]Gennady Yu. Kulikov, Maria V. Kulikova:
Do the Contemporary Cubature and Unscented Kalman Filtering Methods Outperform Always the Traditional Extended Kalman Filter? CoRR abs/1604.04498 (2016) - [i5]Maria V. Kulikova:
Likelihood Gradient Evaluation Using Square-Root Covariance Filters. CoRR abs/1605.06654 (2016) - [i4]Maria V. Kulikova:
Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise. CoRR abs/1610.00257 (2016) - [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)
Coauthor Index
Gennady Y. Kulikov
aka: Gennady Yu. Kulikov
aka: Gennady Yu. Kulikov
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