Speciality:
01.01.09 (Discrete mathematics and mathematical cybernetics)
Website: https://fenix.tecnico.ulisboa.pt/homepage/ist90809 Keywords: Nonlinear Bayesian filtering, Kalman filter, system identification, adaptive filtering, design of numerically stable estimation methods.
Subject:
My current research interests focus mainly on the theory of numerical methods for Kalman filtering with special emphasis to system identification and adaptive filtering (linear and nonlinear).
Main publications:
G.Yu. Kulikov, M.V. Kulikova, “The accurate continuous-discrete extended Kalman filter for radar tracking”, IEEE Transactions on Signal Processing, 64:4 (2016), 948–958
G. Yu. Kulikov, M. V. Kulikova, “Accurate numerical implementation of the continuous-discrete extended Kalman filter”, IEEE Transactions on Automatic Control, 59:1 (2014), 273–279
M. V. Kulikova, A. Pacheco, “Kalman filter sensitivity evaluation with orthogonal and J-orthogonal transformations”, IEEE Transactions on Automatic Control, 58:7 (2013), 1798-1804
J.V. Tsyganova, M.V. Kulikova, “State Sensitivity Evaluation within UD based Array Covariance Filter”, IEEE Transactions on Automatic Control, 58:11 (2013), 2944 - 2950
M. V. Kulikova, “Likelihood Gradient Evaluation Using Square-Root Covariance Filters”, IEEE Transactions on Automatic Control, 54:3 (2009), 646 – 651
