Visible to the public Parameter estimation and convergence analysis for a class of canonical dynamic systems by extended kalman filter

TitleParameter estimation and convergence analysis for a class of canonical dynamic systems by extended kalman filter
Publication TypeConference Paper
Year of Publication2017
AuthorsWei, P., Xia, B., Luo, X.
Conference Name2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE)
Keywordscanonical dynamic system, canonical dynamic systems, composability, convergence, convergence analysis, covergence, differential equation, differential equations, Dynamical Systems, EKF, EKF parameter estimation, extended Kalman filter, Heuristic algorithms, Kalman filters, Mathematical model, Metrics, Nonlinear dynamical systems, nonlinear filters, parameter estimation, pubcrawl, resilience, Resiliency
Abstract

There were many researches about the parameter estimation of canonical dynamic systems recently. Extended Kalman filter (EKF) is a popular parameter estimation method in virtue of its easy applications. This paper focuses on parameter estimation for a class of canonical dynamic systems by EKF. By constructing associated differential equation, the convergence of EKF parameter estimation for the canonical dynamic systems is analyzed. And the simulation demonstrates the good performance.

URLhttps://ieeexplore.ieee.org/document/8087952
DOI10.1109/CCSSE.2017.8087952
Citation Keywei_parameter_2017