Books
  • [B-02] Semoushin I.V., Kulikov G.Yu. (2000) Computational Linear Algebra: Collected Assignments for Laboratory Case Studies, Tests and Examinations. (in Russian) Ulyanovsk State Technical University, Ulyanovsk, 119 p. ISBN 5-89146-139-0 
  • [B-01] Shakin V.V., Komissarov K.V., Kulikov G.Yu., Tsitovtsev V.E., Shapoval A.V., Schirov A.V., Goloveschenkov O.V., Panfilov A.V., Strizhov V.V., Przhialkovsky V.V., Plechov P.Yu. (1996) Biosystems under extreme conditions. (in Russian) Computing Center, Russian Academy of Sciences, Moscow, 84 p. ISBN 5-201-09728-6
Articles in Peer Reviewed International Journals
  •  2020 
    [JP-97, DOI, JRank] Kulikov G.Yu., Lima P.M., Kulikova M.V. (2020) Numerical solution of the neural field equation in the presence of random disturbance. Journal of Computational and Applied Mathematics, in press.
  • [JP-96, DOI, JRank] Kulikova M.V., Tsyganova J.V., Kulikov G.Yu. (2020) SVD-based state and parameter estimation approach for generalized Kalman filtering with application to GARCH-in-Mean estimation. Journal of Computational and Applied Mathematics, in press.
  • [JP-95, DOI, JRank] Kulikov G.Yu., Kulikova M.V. (2020) 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 Processing, 166: 107253.
  • [JP-94, DOI, JRank] Kulikov G.Yu., Kulikova M.V. (2020) NIRK-based Cholesky-factorized square-root accurate continuous-discrete unscented Kalman filters for state estimation in nonlinear continuous-time stochastic models with discrete measurements. Applied Numerical Mathematics, 147: 196-221.
  •  2019 
    [JP-93, DOI, JRank] Kulikov G.Yu., Kulikova M.V. (2019) Numerical robustness of extended Kalman filtering based state estimation in ill-conditioned continuous-discrete nonlinear stochastic chemical systems. International Journal of Robust and Nonlinear Control, 29(5): 1377-1395.
  • [JP-92, DOI, JRank] Kulikov G.Yu., Taylor D.R., Kulikova M.V. (2019) A nonlinear Bayesian filtering approach to estimating adaptive market efficiency. Russian Journal of Numerical Analysis and Mathematical Modelling, 34(1): 31-42.
  •  2018 
    [JP-91, DOI, JRank] Kulikov G.Yu., Kulikova M.V. (2018) Moore-Penrose-pseudo-inverse-based Kalman-like filtering methods for estimation of stiff continuous-discrete stochastic systems with ill-conditioned measurements. IET Control Theory & Applications, 12(16): 2205-2212.
  • [JP-90, DOI, SJRank] Kulikov G.Yu., Weiner R. (2018) Doubly quasi-consistent fixed-stepsize numerical integration of stiff ordinary differential equations with implicit two-step peer methods. Journal of Computational and Applied Mathematics, 340: 256-275.
  • [JP-89, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2018) Stability analysis of extended, cubature and unscented Kalman filters for estimating stiff continuous-discrete stochastic systems. Automatica, 90: 91-97.
  • [JP-88, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2018) Estimation of maneuvering target in the presence of non-Gaussian noise: A coordinated turn case study. Signal Processing, 145: 241-257. 
  • [JP-87, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2018) Practical implementation of extended Kalman filtering in chemical systems with sparse measurements. Russian Journal of Numerical Analysis and Mathematical Modelling, 33(1): 41-53.
  •  2017 
    [JP-86, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2017) Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering. Mathematics and Computers in Simulation, 142:62-81.
  • [JP-85, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2017) Accurate continuous?discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking. Signal Processing, 139: 25-35.
  • [JP-84, DOI, SJRank] Kulikov G. Yu., Kulikova M.V. (2017) Do the contemporary cubature and unscented Kalman filtering methods outperform always the extended Kalman filter?  IFAC-PapersOnLine, 50(1): 3762-3767.
  • [JP-83, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2017) Square-root Kalman-like filters for estimation of stiff continuous-time stochastic systems with ill-conditioned measurements. IET Control Theory and Applications, 11(9): 1420-1425.
  • [JP-82, DOI, SJRank] Kulikov G. Yu., Kulikova M.V. (2017) Accurate state estimation in continuous-discrete stochastic state-space systems with nonlinear or nondifferentiable observations. IEEE Transactions on Automatic Control, 62(8): 4243-4250.
  • [JP-81, DOI, SJRank] Kulikova M.V., Kulikov G.Yu. (2017) NIRK-based accurate continuous-discrete extended Kalman filters for estimating continuous-time stochastic target tracking models, Journal of Computational and Applied Mathematics, 316: 260-270.
  • [JP-80, DOI, SJRank] Weiner R., Kulikov G.Yu., Beck S., Bruder J. (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, Journal of Computational and Applied Mathematics, 316: 380-391.
  • [JP-79, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2017) The continuous-discrete extended Kalman filter revisited. Russian Journal of Numerical Analysis and Mathematical Modelling, 32(1): 27-38.
  • [JP-78, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2017) Accurate cubature and extended Kalman filtering methods for estimating continuous-time nonlinear stochastic systems with discrete measurements. Applied Numerical Mathematics, 111: 260-275.
  •  2016 
    [JP-77, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2016) Estimating the state in stiff continuous-time stochastic systems within extended Kalman filtering. SIAM Journal on Scientific Computing, 38(6): A3565-A3588.
  • [JP-76, URL] Kulikova M.V., Kulikov G.Yu. (2016) Numerical methods for nonlinear filtering of signals and measurements. Computational Technologies, 21(4): 64-98. (in Russian)
  • [JP-75, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2016)  The accurate continuous-discrete extended Kalman filter for radar tracking. IEEE Transactions on Signal Processing, 64(4): 948-958.
  •  2015 
    [JP-74, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2015) The accurate continuous-discrete extended Kalman filter for continuous-time stochastic systems. Russian Journal of Numerical Analysis and Mathematical Modelling, 30(4): 239-249.
  • [JP-73, DOI, SJRank] Kulikov G.Yu., Weiner R. (2015)  A singly diagonally implicit two-step peer triple with global error control for stiff ordinary differential equations. SIAM Journal on Scientific Computing, 37(3):A1593?A1613.
  • [JP-72, DOI, SJRank] Kulikov G.Yu. (2015)  Embedded symmetric nested implicit Runge-Kutta methods of Gauss and Lobatto types for solving stiff ordinary differential equations and Hamiltonian systems. Computational Mathematics and Mathematical Physics, 55(6):983-1003.
  • [JP-71, DOI, SJRank] Kulikov G.Yu., Kulikova M.V. (2015) High-order accurate continuous-discrete extended Kalman filter for chemical engineering, European Journal of Control, 21:14-26.
  •  2014 
    [JP-70, DOI, SJRank] Kulikov G.Yu., Lima P.M., Morgado M.L. (2014) Analysis and numerical approximation of singular boundary value problems with the p-Laplacian in fluid mechanics, Journal of Computational and Applied Mathematics, 262: 87-104.
  • [JP-69, DOI, SJRank] Kulikova M.V., Kulikov G.Yu.(2014) Adaptive ODE solvers in extended Kalman filtering algorithms, Journal of Computational and Applied Mathematics, 262(5): 205-216.
  • [JP-68, DOI, SJRank] Weiner R., Kulikov G.Yu. (2014) Local and global error estimation and control within explicit two-step peer triples, Journal of Computational and Applied Mathematics, 262: 261-270.
  • [JP-67, DOI, SJRank] Weiner R., Kulikov G.Yu. (2014) Efficient error control in numerical integration of ordinary differential equations and optimal interpolating variable-stepsize peer methods, Computational Mathematics and Mathematical Physics, 54(4): 604-619.
  • [JP-66, DOI, SJRank] Kulikov G. Yu., Kulikova M.V. (2014) Accurate numerical  implementation of the continuous-discrete extended Kalman filter, IEEE Transactions on Automatic Control, 59(1): 273-279.
  •  2013 
    [JP-65, DOI, SJRank] Kulikov G.Yu. (2013) Adaptive Nordsieck formulas with advanced global error control mechanisms. Russian Journal of Numerical Analysis and Mathematical Modelling, 28(4): 321-352.
  • [JP-64, DOI, SJRank] Kulikov G.Yu. (2013) Cheap global error estimation in some Runge-Kutta pairs. IMA Journal of Numerical Analysis, 33(1): 136-163.
  •  2012 
    [JP-63, DOI, SJRank] Kulikov G.Yu. (2012) Solving the order reduction phenomenon in variable step size quasi-consistent Nordsieck methods. Computational Mathematics and Mathematical Physics, 52(11): 1547-1564.
  • [JP-62, DOI, SJRank] Weiner R., Kulikov G.Yu., Podhaisky H. (2012) Variable-stepsize doubly quasi-consistent parallel explicit peer methods with global error control. Applied Numerical Mathematics, 62(10): 1591-1603.
  • [JP-61, DOI, SJRank] Kulikov G. Yu. (2012) Global error control in adaptive Nordsieck methods. SIAM Journal on Scientific Computing, 34(2): A839-A860.
  •  2011 
    [JP-60, DOI, SJRank] Kulikov G. Yu.,  Weiner R. (2011) Global error estimation and control in linearly-implicit parallel two-step peer W-methods. Journal of Computational and Applied Mathematics, 236(6): 1226-1239.
  • [JP-59, DOI, SJRank] Kulikov G.Yu. (2011) Proportional extrapolation and symmetric one-step methods. Russian Journal of Numerical Analysis and Mathematical Modelling, 26(1): 49-73.
  • [JP-58, DOI, SJRank] Kulikov G.Yu.,  Kuznetsov E.B.,  Khrustaleva E.Yu. (2011) On the global error control in nested implicit Runge-Kutta methods of the Gauss type. Numerical analysis and applications, 4(3): 199-209.
  •  2010 
    [JP-57, DOI, SJRank] Kulikov G.Yu., Weiner R. (2010) Variable-stepsize interpolating explicit parallel peer methods with inherent global error control. SIAM Journal on Scientific Computing, 32(4): 1695-1723.
  • [JP-56, DOI, SJRank] Kulikov G.Yu., Weiner R. (2010) Doubly quasi-consistent parallel explicit peer methods with built-in global error estimation. Journal of Computational and Applied Mathematics, 233(9): 2351-2364.
  • [JP-55, DOI, SJRank] Kulikov G.Yu., Khrustaleva E.Yu. (2010) Automatic step size and order control in one-step collocation methods with higher derivatives. Computational Mathematics and Mathematical Physics, 50(6): 1006-1023.
  • [JP-54, DOI, SJRank] Kulikov G.Yu., Weiner R. (2010) Global error control in implicit parallel peer methods. Russian Journal of Numerical Analysis and Mathematical Modelling, 25(2):131-146.
  • [JP-53, DOI, SJRank] Kulikov G.Yu. (2010) Local theory of extrapolation methods. Numerical Algorithms, 53: 321-342.
  •  2009 
    [JP-52, DOI, SJRank] Kulikov G.Yu. (2009) Automatic error control in the Gauss-type nested implicit Runge-Kutta formula of order 6. Russian Journal of Numerical Analysis and Mathematical Modelling, 24(2): 123-144.
  • [JP-51, DOI, SJRank] Kulikov G.Yu. (2009) On quasi-consistent integration by Nordsieck methods. Journal of Computational and Applied Mathematics, 225(1): 268-287.
  • [JP-50, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2009) Adaptive nested implicit Runge-Kutta formulas of Gauss type. Applied Numerical Mathematics, 59(3-4): 707-722. 
  •  2008 
    [JP-49, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2008) Local and global error estimation in Nordsieck methods. Russian Journal of Numerical Analysis and Mathematical Modelling, 23(6): 567-595.
  • [JP-48, DOI, SJRank] Kulikov G.Yu., Khrustaleva E.Yu.(2008) Automatic step size and order control in implicit one-step extrapolation methods. Computational Mathematics and Mathematical Physics, 48(9): 1545-1569.
  • [JP-47, DOI, SJRank] Kulikov G.Yu., Khrustaleva E.Yu. (2008) Automatic step size and order control in explicit one-step extrapolation methods. Computational Mathematics and Mathematical Physics, 48(8): 1313-1326.
  •  2007 
    [JP-46, DOI, SJRank] Kulikov G.Yu., Merkulov A.I., Shindin S.K. (2007) Asymptotic error estimate for general Newton-type methods and its application to differential equations. Russian Journal of Numerical Analysis and Mathematical Modelling, 22(6): 567-590.
  • [JP-45, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2007) Numerical tests with Gauss-type nested implicit Runge-Kutta formulas. Lecture Notes in Computer Science, 4487: 136-143.
  •  2006 
    [JP-44, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2006) One-leg variable-coefficient formulas for ordinary differential equations and the local-global step size control. Numerical Algorithms, 43(1): 99-121.
  • [JP-43, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2006) Nordsieck methods on nonuniform grids: Stability and order reduction phenomenon. Mathematics and Computers in Simulation, 72(1): 47-56.
  • [JP-42, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2006) On a family of cheap symmetric one-step methods of order four. Lecture Notes in Computer Science, 3991: 781-785.
  • [JP-41, DOI, SJRank] Kulikov G.Yu., Khrustaleva E.Yu., Merkulov A.I. (2006) Symmetric Runge-Kutta methods with higher derivatives and quadratic extrapolation. Lecture Notes in Computer Science, 3991: 117-123. 
  •  2005 
    [JP-40, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2005) Global error estimation and extrapolated multistep methods for index 1 differential-algebraic systems, BIT Numerical Mathematics, 45(3): 517-542.
  • [JP-39, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2005) On stable integration of stiff ordinary differential equations with global error control. Lecture Notes in Computer Science, 3514: 42-49.
  • [JP-38, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2005) One-leg integration of ordinary differential equations with global error control, Computational Methods in Applied Mathematics, 5(1): 86-96.
  •  2004 
    [JP-37, DOI, SJRank] Kulikov G.Yu. (2004) One-step methods and implicit extrapolation technique for index 1 differential-algebraic systems. Russian Journal of Numerical Analysis and Mathematical Modelling, 19(6): 527-553.
  • [JP-36, DOI, SJRank] Kulikov G.Yu., Merkulov A.I. (2004) Asymptotic error estimate of iterative Newton-type methods and its practical application. Lecture Notes in Computer Science, 3045: 667-675.
  • [JP-35, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2004) On automatic global error control in multistep methods with polynomial interpolation of numerical solution. Lecture Notes in Computer Science, 3045: 345-354. 
  • [JP-34, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2004) INTEGRATOR: A computational tool to solve ordinary differential equations with global error control. Lecture Notes in Computer Science, 3037: 570-573. 
  • [JP-33, DOI, SJRank] Kulikov G.Yu. (2004) An advanced version of the local-global step size control for Runge-Kutta methods applied to index 1 differential-algebraic systems. Lecture Notes in Computer Science, 3037: 565-569. 
  • [JP-32, DOI, SJRank] Kulikov G.Yu., Merkulov A.I., Khrustaleva E.Yu. (2004) On a family of A-stable collocation methods with high derivatives. Lecture Notes in Computer Science, 3037: 73-80. 
  • [JP-31, SJRank] Kulikov G.Yu., Merkulov A.I. (2004) On one-step collocation methods with higher derivatives for solving ordinary differential equations. Computational Mathematics and Mathematical Physics, 44(10): 1696-1720. 
  • [JP-30, SJRank] Kulikov G.Yu., Shindin S.K. (2004) On multistep interpolation-type methods with automatic global error control. Computational Mathematics and Mathematical Physics, 44(8): 1314-1333.
  • [JP-29, SJRank] Kulikov G.Yu., Shindin S.K. (2004) On an effective computation of asymptotically correct estimates of the local and global errors for multistep methods with fixed coefficients. Computational Mathematics and Mathematical Physics, 44(5): 794-814.
  •  2003 
    [JP-28, DOI, SJRank] Kulikov G.Yu., Shindin S.K. (2003) Extrapolated multistep methods and local-global step size control. Lecture Notes in Computer Science, 2657: 540-549. 
  • [JP-27, SJRank] Kulikov G.Yu. (2003) On the stability of symmetric Runge-Kutta formulas. Doklady Mathematics, 67(2): 184-188. 
  • [JP-26, DOI, SJRank] Kulikov G.Yu. (2003) Symmetric Runge-Kutta methods and their stability. Russian Journal of Numerical Analysis and Mathematical Modelling, 18(1): 13-41.
  •  2002 
    [JP-25, SJRank] Kulikov G.Yu. (2002) On the use of Hotelling's iterations for solving differential-algebraic systems of index 1. Doklady Mathematics, 66(3): 348-352. 
  • [JP-24, DOI, SJRank] Kulikov G.Yu., Benderskaya G.Ya. (2002) On implementation of vector Gauss method for solving large-scale systems of index 1 differential-algebraic equations. Lecture Notes in Computer Science, 2330: 412-421. 
  • [JP-23, SJRank] Kulikov G.Yu. (2002) On implicit extrapolation methods for ordinary differential equations. Russian Journal of Numerical Analysis and Mathematical Modelling, 17(1): 41-69.  
  • [JP-22, SJRank] Kulikov G.Yu. (2002) On implicit extrapolation methods for systems of differential-algebraic equations. Moscow University Mathematics Bulletin, 57(5): 1-5. 
  •  2001 
    [JP-21, DOI, SJRank] Kulikov G.Yu., Korneva A.A. (2001) On efficient application of implicit Runge-Kutta methods to large-scale systems of index 1differential-algebraic equations. Lecture Notes in Computer Science, 2073: 832-841.
  • [JP-20, SJRank] Kulikov G.Yu., Korneva A.A., Benderskaya G.Ya. (2001) On numerical solution of large-scale systems of index 1 differential-algebraic equations. In Russian: Fundamental and Applied Mathematics, 7(4): 1047-1080.
  • [JP-19, SJRank] Kulikov G.Yu. (2001) On using Newton-type iterative methods for solving systems of differential-algebraic equations of index 1. Computational Mathematics and Mathematical Physics, 41(8): 1122-1131.
  •  2000 
    [JP-18, SJRank] Kulikov G.Yu., Shindin S.K. (2000) On multistep extrapolation methods for ordinary differential equations. Doklady Mathematics, 61(3): 357-360. 
  • [JP-17, SJRank] Kulikov G.Yu. (2000) On symmetry of some Runge-Kutta methods. In Russian: Fundamental and Applied Mathematics, 6(4):1131-1140.
  • [JP-16, SJRank] Kulikov G.Yu., Shindin S.K. (2000) A technique for controlling the global error in multistep methods. Computational Mathematics and Mathematical Physics, 40(9):1255-1275.  
  • [JP-15, SJRank] Andrianova N.A., Kulikov G.Yu. (2000) On pseudodiagonally optimal Runge-Kutta simple iteration methods for systems of differential- algebraic equations of index 1. Computational Mathematics and Mathematical Physics, 40(7): 1027-1045.  
  • [JP-14, SJRank] Kulikov G.Yu. A local-global version of a stepsize control for Runge-Kutta methods. Journal of Applied Mathematics and Computing, 7(2): 289-318.
  •  1999 
    [JP-13, SJRank] Kulikov G.Yu., Shindin S.K. (1999) A local-global stepsize control for multistep methods applied to semi-explicit index 1 differential-algebraic equations. Journal of Applied Mathematics and Computing, 6(3): 463-492.
  •  1998 
    [JP-12, DOI, SJRank] Kulikov G.Yu. (1998) Asymptotic error estimates for the method of simple iterations and for the modified and generalized Newton methods. Mathematical Notes, 63(3-4): 494-502. 
  • [JP-11, SJRank] Kulikov G.Yu. (1998) A method of error analysis for Runge-Kutta methods. Computational Mathematics and Mathematical Physics, 38(10): 1580-1582.
  • [JP-10, SJRank] Kulikov G.Yu. (1998) Revision of the theory of symmetric one-step methods for ordinary differential equations. Journal of Applied Mathematics and Computing, 5(3): 579-600.  
  • [JP-09, SJRank] Kulikov G.Yu. (1998) Numerical solution of the Cauchy problem for a system of differential-algebraic equations with the use of implicit Runge-Kutta methods with a nontrivial predictor. Computational Mathematics and Mathematical Physics, 38(1): 64-80. 
  •  1997 
    [JP-08, DOI, SJRank] Kulikov G.Yu. (1997) A theory of symmetric one-step methods for differential-algebraic equations. Russian Journal of Numerical Analysis and Mathematical Modelling, 12(6):501-523. 
  • [JP-07, SJRank] Kulikov G.Yu. (1997) On the numerical solution of the Cauchy problem for a system of differential-algebraic equations by means of implicit Runge-Kutta methods with a variable integration step. Moscow University Mathematics Bulletin, 52(5): 6-10. 
  • [JP-06, SJRank] Kulikov G.Yu. (1997) Numerical methods solving the semi-explicit differential-algebraic equations by implicit multistep fixed stepsize methods. Journal of Applied Mathematics and Computing, 4(2): 281-318. 
  •  1996 
    [JP-05, SJRank] Kulikov G.Yu. (1996) Convergence theorems for iterative Runge-Kutta methods with a constant integration step. Computational Mathematics and Mathematical Physics, 36(8):1041-1054. 
  •  1994 
    [JP-04, SJRank] Kulikov G.Yu. (1994) The practical implementation and efficiency of the numerical methods for solving the Cauchy problem with an algebraic relation between the phase variables. Computational Mathematics and Mathematical Physics, 34(11): 1389-1401. 
  •  1993 
    [JP-03, SJRank] Kulikov G.Yu. (1993) The numerical solution of the autonomous Cauchy problem with an algebraic relation between the phase variables. Computational Mathematics and Mathematical Physics, 33(4):477-492. 
  • [JP-02, SJRank] Kulikov G.Yu. (1993) The numerical solution of an autonomous Cauchy problem with an algebraic constraint on the phase variables (the nonsingular case). Moscow University Mathematics Bulletin, 48(3): 8-12.  
  •  1992 
    [JP-01, SJRank] Kulikov G.Yu. (1992) A method for the numerical solution of the autonomous Cauchy problem with an algebraic restriction of the phase variables. Moscow University Mathematics Bulletin, 47(1): 14-18.  
Conference Proceedings
  • [CP-16, DOI] Kulikov G.Yu., Kulikova M.V. (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, Sinaia, Romania, pp. 137-142.  
  • [CP-15, DOI] Kulikov G.Yu., Kulikova M.V., Lima P.M. (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, Sinaia, Romania, pp. 644-649.  
  • [CP-14, DOI] Kulikova M.V., Kulikov G.Yu., Lima P.M. (2019) Effective numerical solution to two-dimensional stochastic neural field equations, Proceedings of the 23rd International Conference on System Theory, Control and Computing, Sinaia, Romania, pp. 650-655.  
  • [CP-13, DOI] Kulikov G.Yu., Kulikova M.V. (2018) Accuracy issues in Kalman filtering state estimation of stiff continuous-discrete stochastic models arisen in engineering research, Proceedings of the 22nd International Conference on System Theory, Control and Computing, Sinaia, Romania, pp. 800-805.
  • [CP-12, DOI] Kulikov G.Yu., Kulikova M.V. (2018) Numerical stability of EKF-based software sensors in chemical engineering: A Van Der Vusse reaction case study, Proceedings of the 22nd International Conference on System Theory, Control and Computing, Sinaia, Romania, pp. 286-291.
  • [CP-11, DOI] Kulikova M.V., Tsyganova J.V., Kulikov G.Yu. (2018) SVD-based state estimation of pairwise Markov models with application in econometrics, Proceedings of the 22nd International Conference on System Theory, Control and Computing, Sinaia, Romania, pp. 188-193.
  • [CP-10, DOI] Kulikova M.V., Kulikov G.Yu. (2016), On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models, Proceedings of European Control Conference, Aalborg, Denmark, pp. 1129-1134.
  • [CP-09, DOI] Kulikov G.Yu., Kulikova M.V. (2016) Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering, Proceedings of European Control Conference, Aalborg, Denmark, pp. 1728-1733.
  • [CP-08DOI] Kulikov G.Yu., Kulikova M.V. (2015) State estimation in chemical systems with infrequent measurements. In: Proceedings of the 2015 European Control Conference (ECC 2015), Linz, Austria, pp. 2688-2693.
  • [CP-07DOI] Kulikova M.V., Kulikov G.Yu. (2015) A mixed-type accurate continuous-discrete extended-unscented Kalman filter for target tracking. In: Proceedings of the 2015 European Control Conference (ECC 2015), Linz, Austria, pp. 2824-2829.
  • [CP-06DOI] Kulikov G.Yu., Kulikova M.V. (2014) Accurate state estimation in the Van Der Vusse reaction. In: Proceedings of the 2014 IEEE Multi-conference on Control Applications (CCA), Antibes, France, pp. 759-764.
  • [CP-05DOI] Kulikova M.V., Kulikov G.Yu. (2013) Square-root accurate continuous-discrete extended Kalman filter for target tracking. In: Proceedings of the 52-nd IEEE Conference on Decision and Control, IEEE-CDC 2013. Florence, Italy, pp. 7785-7790.
  • [CP-04DOI] Kulikov G.Yu. (2003) Theory of implicit extrapolation methods for ordinary differential equations. In: Proceedings of the Numerical Mathematics and Advanced Applications (ENUMATH 2001) conference. Springer-Verlag Italia, Milano, pp. 909-918, ISBN 88-470-0180-3.
  • [CP-03URL] Kulikov G.Yu., Shindin S.K. (2002) An advanced version of local-global step size control for multistep methods. In: Proceedings of the International Conference on Computational Mathematics (ICCM 2002): Part II. ICMMG Publisher, Novosibirsk, pp. 567-573, ISBN 5-901548-10-8.
  • [CP-02, URL] Kulikov G.Yu., Benderskaya G.Ya. (2002) Effective numerical solution of large-scale index 1 differential-algebraic systems. In: Proceedings of the  International Conference on Computational Mathematics (ICCM 2002): ICMMG Publisher, Novosibirsk, pp. 561-566, ISBN 5-901548-10-8.
  • [CP-01] Kulikov G.Yu., Shindin S.K. (2000) An advanced local-global stepsize control for multistep methods. Proceedings of the 3rd European Conference. World Scientific, Singapore, pp.593 - 600, ISBN 981-02-4381-1.