Gennady Y. Kulikov

Orcid: 0000-0002-1663-6009

According to our database1, Gennady Y. Kulikov authored at least 72 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

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Bibliography

2024
Euler-Maruyama-Based Data-Driven State Restoration and Parameter Adaptation in Stochastic Neural Fields With Finite Signal Transmission Rate.
IEEE Trans. Inf. Theory, June, 2024

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., 2024

Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations.
Eur. J. Control, 2024

Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements.
Commun. Nonlinear Sci. Numer. Simul., 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

Accuracy Study in Numerical Simulations to Stochastic Neural Field Equations.
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020

2019
Effective Numerical Solution to Two-Dimensional Stochastic Neural Field Equations.
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
The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking.
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

State estimation in chemical systems with infrequent measurements.
Proceedings of the 14th European Control Conference, 2015

2014
Accurate Numerical Implementation of the Continuous-Discrete Extended Kalman Filter.
IEEE Trans. Autom. Control., 2014

Local and global error estimation and control within explicit two-step peer triples.
J. Comput. Appl. Math., 2014

Adaptive ODE solvers in extended Kalman filtering algorithms.
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

Accurate state estimation in the Van der Vusse reaction.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Square-root Accurate Continuous-Discrete Extended Kalman Filter for target tracking.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Global Error Control in Adaptive Nordsieck Methods.
SIAM J. Sci. Comput., 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

Local theory of extrapolation methods.
Numer. Algorithms, 2010

Doubly quasi-consistent parallel explicit peer methods with built-in global error estimation.
J. Comput. Appl. Math., 2010

2007
Numerical Tests with Gauss-Type Nested Implicit Runge-Kutta Formulas.
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

Nordsieck methods on nonuniform grids: Stability and order reduction phenomenon.
Math. Comput. Simul., 2006

On a Family of Cheap Symmetric One-Step Methods of Order Four.
Proceedings of the Computational Science, 2006

Symmetric Runge-Kutta Methods with Higher Derivatives and Quadratic Extrapolation.
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

On a Family of A-stable Collocation Methods with High Derivatives.
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
Extrapolated Multistep Methods and Local-Global Step Size Control.
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


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