Parameter estimation and convergence analysis for a class of canonical dynamic systems by extended kalman filter
Title | Parameter estimation and convergence analysis for a class of canonical dynamic systems by extended kalman filter |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Wei, P., Xia, B., Luo, X. |
Conference Name | 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE) |
Keywords | canonical 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. |
URL | https://ieeexplore.ieee.org/document/8087952 |
DOI | 10.1109/CCSSE.2017.8087952 |
Citation Key | wei_parameter_2017 |
- extended Kalman filter
- Resiliency
- resilience
- pubcrawl
- parameter estimation
- nonlinear filters
- Nonlinear dynamical systems
- Metrics
- Mathematical model
- Kalman filters
- Heuristic algorithms
- canonical dynamic system
- EKF parameter estimation
- EKF
- Dynamical Systems
- differential equations
- differential equation
- covergence
- convergence analysis
- convergence
- composability
- canonical dynamic systems