Gennady Y. Kulikov
Orcid: 0000-0002-1663-6009
According to our database1,
Gennady Y. Kulikov
authored at least 69 papers
between 2001 and 2024.
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Bibliography
2024
Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations.
CoRR, 2024
2023
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, September, 2023
Data-driven parameter estimation in stochastic dynamic neural fields by state-space approach and continuous-discrete extended Kalman filtering.
Digit. Signal Process., May, 2023
Accuracy analysis of numerical simulations and noisy data assimilations in two-dimensional stochastic neural fields with infinite signal transmission speed.
J. Frankl. Inst., 2023
2022
Hyperbolic-SVD-Based Square-Root Unscented Kalman Filters in Continuous-Discrete Target Tracking Scenarios.
IEEE Trans. Autom. Control., 2022
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, 2022
Estimation of market efficiency process within time-varying autoregressive models by extended Kalman filtering approach.
Digit. Signal Process., 2022
Sequential method for fast neural population activity reconstruction in the cortex from incomplete noisy measurements.
Comput. Biol. Medicine, 2022
Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods.
Autom., 2022
Accurate Itô-Taylor-Discretization-Based State Estimation in Stochastic Neural Field Equations with Infinite Signal Transmission Rate.
Proceedings of the European Control Conference, 2022
Pattern Recognition Facilities of Extended Kalman Filtering in Stochastic Neural Fields.
Proceedings of the European Control Conference, 2022
2021
SVD-based state and parameter estimation approach for generalized Kalman filtering with application to GARCH-in-Mean estimation.
J. Comput. Appl. Math., 2021
Numerical solution of the neural field equation in the presence of random disturbance.
J. Comput. Appl. Math., 2021
MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods.
Eur. J. Control, 2021
Square-root high-degree cubature Kalman filters for state estimation in nonlinear continuous-discrete stochastic systems.
Eur. J. Control, 2021
Ito^-Taylor-based square-root unscented Kalman filtering methods for state estimation in nonlinear continuous-discrete stochastic systems.
Eur. J. Control, 2021
Estimating a degree of evolving market efficiency: How efficient is the Romanian stock market?
Proceedings of the 25th International Conference on System Theory, Control and Computing, 2021
Reconstruction of Hidden States in Stochastic Neural Field Equations with Infinite Signal Transmission Rate.
Proceedings of the 25th International Conference on System Theory, Control and Computing, 2021
Self-Adaptive MATLAB-Based Gauss-Hermite Quadrature Filter for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems.
Proceedings of the 2021 European Control Conference, 2021
2020
UD-Based Pairwise and MIMO Kalman-Like Filtering for Estimation of Econometric Model Structures.
IEEE Trans. Autom. Control., 2020
Square-root accurate continuous-discrete extended-unscented Kalman filtering methods with embedded orthogonal and <i>J</i>-orthogonal <i>QR</i> decompositions for estimation of nonlinear continuous-time stochastic models in radar tracking.
Signal Process., 2020
SVD-based factored-form Cubature Kalman Filtering for continuous-time stochastic systems with discrete measurements.
Autom., 2020
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020
2019
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019
Numerical Simulation of Neural Fields with Finite Transmission Speed and Random Disturbance.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019
SVD-Based Factored-Form Extended Kalman Filters for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019
The J-Orthogonal Square-Root NIRK-Based Extended-Unscented Kalman Filter for Nonlinear Continuous-Discrete Stochastic Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Estimation of maneuvering target in the presence of non-Gaussian noise: A coordinated turn case study.
Signal Process., 2018
Doubly quasi-consistent fixed-stepsize numerical integration of stiff ordinary differential equations with implicit two-step peer methods.
J. Comput. Appl. Math., 2018
Stability analysis of Extended, Cubature and Unscented Kalman Filters for estimating stiff continuous-discrete stochastic systems.
Autom., 2018
2017
Accurate State Estimation in Continuous-Discrete Stochastic State-Space Systems With Nonlinear or Nondifferentiable Observations.
IEEE Trans. Autom. Control., 2017
Accurate continuous-discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking.
Signal Process., 2017
Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering.
Math. Comput. Simul., 2017
New third- and fourth-order singly diagonally implicit two-step peer triples with local and global error controls for solving stiff ordinary differential equations.
J. Comput. Appl. Math., 2017
NIRK-based accurate continuous-discrete extended Kalman filters for estimating continuous-time stochastic target tracking models.
J. Comput. Appl. Math., 2017
2016
IEEE Trans. Signal Process., 2016
Estimating the State in Stiff Continuous-Time Stochastic Systems within Extended Kalman Filtering.
SIAM J. Sci. Comput., 2016
Do the Contemporary Cubature and Unscented Kalman Filtering Methods Outperform Always the Traditional Extended Kalman Filter?
CoRR, 2016
On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models.
Proceedings of the 15th European Control Conference, 2016
Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering.
Proceedings of the 15th European Control Conference, 2016
2015
A Singly Diagonally Implicit Two-Step Peer Triple with Global Error Control for Stiff Ordinary Differential Equations.
SIAM J. Sci. Comput., 2015
High-order accurate continuous-discrete extended Kalman filter for chemical engineering.
Eur. J. Control, 2015
A mixed-type accurate continuous-discrete extended-unscented kalman filter for target tracking.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 14th European Control Conference, 2015
2014
IEEE Trans. Autom. Control., 2014
J. Comput. Appl. Math., 2014
J. Comput. Appl. Math., 2014
Analysis and numerical approximation of singular boundary value problems with the p-Laplacian in fluid mechanics.
J. Comput. Appl. Math., 2014
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
2011
Global error estimation and control in linearly-implicit parallel two-step peer W-methods.
J. Comput. Appl. Math., 2011
2010
Variable-Stepsize Interpolating Explicit Parallel Peer Methods with Inherent Global Error Control.
SIAM J. Sci. Comput., 2010
Doubly quasi-consistent parallel explicit peer methods with built-in global error estimation.
J. Comput. Appl. Math., 2010
2007
Proceedings of the Computational Science, 2007
2006
One-leg variable-coefficient formulas for ordinary differential equations and local-global step size control.
Numer. Algorithms, 2006
Math. Comput. Simul., 2006
Proceedings of the Computational Science, 2006
Proceedings of the Computational Science, 2006
2005
On Stable Integration of Stiff Ordinary Differential Equations with Global Error Control.
Proceedings of the Computational Science, 2005
2004
On Automatic Global Error Control in Multistep Methods with Polynomial Interpolation of Numerical Solution.
Proceedings of the Computational Science and Its Applications, 2004
Asymptotic Error Estimate of Iterative Newton-Type Methods and Its Practical Application.
Proceedings of the Computational Science and Its Applications, 2004
INTEGRATOR: A Computational Tool to Solve Ordinary Differential Equations with Global Error Control.
Proceedings of the Computational Science, 2004
Proceedings of the Computational Science, 2004
An Advanced Version of the Local-Global Step Size Control for Runge-Kutta Methods Applied to Index 1 Differential-Algebraic Systems.
Proceedings of the Computational Science, 2004
2003
Proceedings of the Computational Science - ICCS 2003, 2003
2002
On Implementation of Vector Gauss Method for Solving Large-Scale Systems of Index 1 Differential-Algebraic Equations.
Proceedings of the Computational Science - ICCS 2002, 2002
2001
On Efficient Application of Implicit Runge-Kutta Methods to Large-Scale Systems of Index 1 Differential-Algebraic Equations.
Proceedings of the Computational Science - ICCS 2001, 2001