Tsyganova Julia Vladimirovna

Publications in Math-Net.Ru

1. A general approach to constructing gradient methods for parameter identification based on modified weighted Gram – Schmidt orthogonalization and information-type discrete filtering algorithms
   
   Computer Research and Modeling, 17:5 (2025),  761–782
2. A square-root method for identifying the parameters of discrete-time linear stochastic systems with unknown input signals
   
   Zhurnal SVMO, 27:3 (2025),  341–363
3. Automation of interpretation of psychological testing results using artificial intelligence
   
   Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2024, no. 2,  111–120
4. Construction and analysis of mathematical models in state space for a cardiac pacemaker control system
   
   Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2024, no. 2,  99–110
5. Identification of parameters of convection–diffusion–reaction model and unknown boundary conditions in the presence of random noise in measurements
   
   Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 28:2 (2024),  345–366
6. Analysis of methods for modeling human daily thermometry data
   
   Zhurnal SVMO, 24:4 (2022),  469–484
7. Mathematical modeling of parameter identification process of convection-diffusion transport models using the SVD-based Kalman filter
   
   Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 25:4 (2021),  716–737
8. Computer modeling of the dynamics of bank deposits
   
   Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2020, no. 1,  89–94
9. A brief overview of controller software development tools for mobile robotics
   
   Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2020, no. 1,  54–57
10. To the method of optimal discrete filtering of linear dynamic systems with state-dependent noises
    
    Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2019, no. 1,  120–125
11. Active adaptation of a distributed multi-sensor filtering system
    
    Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 23:4 (2019),  724–743
12. Adaptive estimation of a moving object trajectory using sequential hypothesis testing
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 12:1 (2019),  156–162
13. On the computation of derivatives within LD factorization of parametrized matrices
    
    Bulletin of Irkutsk State University. Series Mathematics, 23 (2018),  64–79
14. On modern array algorithms for optimal discrete filtering
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 11:4 (2018),  5–30
15. Modelling and estimation of a moving object trajectory
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 10:3 (2017),  108–119
16. Differentiating matrix orthogonal transformations
    
    Zh. Vychisl. Mat. Mat. Fiz., 55:9 (2015),  1460–1473
17. A general approach to constructing parameter identification algorithms in the class of square root filters with orthogonal and $J$-orthogonal tranformations
    
    Avtomat. i Telemekh., 2014, no. 8,  59–81
18. Robust filter algorithms — survey and new results for ship navigation and conning systems
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 4,  90–112
19. On the UD filter implementation methods
    
    University proceedings. Volga region. Physical and mathematical sciences, 2013, no. 3,  84–104
20. On efficient parametric identification methods for linear discrete stochastic systems
    
    Avtomat. i Telemekh., 2012, no. 6,  34–51
21. Computing the gradient of the auxiliary quality functional in the parametric identification problem for stochastic systems
    
    Avtomat. i Telemekh., 2011, no. 9,  142–160