Implementation of Three Estimation Theories
Implementation of estimation theories covering probabilistic (Bayesian) estimation concepts.
Steps to reproduce
Robust-Battery-Management-Systems This is the repository with matlab codes from the RBMS book by Dr. Balakumar Balasingam. All codes are written in MATLAB 2022a. Chapter 02: Review of Math Chapter 02 briefly summarizes some required mathematical concepts in estimation theory and numerical methods. demoKF1.m generates the resistance and resistance change estimates for Example 2.4 using the kalman filter. demoKF2.m compares the KF estimates with different process noise initializations in Example 2.5. The NIS of the filter is also plotted here to identify model-mismatch. demoKF3.m generates the KF estimates for Example 2.6 and plots the NIS. demoEKF1.m generates the state estimates for Example 2.8 using the extended kalman filter. demoEKF2.m compares the EKF estimates with different process noise initializations in Example 2.9. demoEKF3.m generates the KF estimates for Example 2.10 and plots the NIS.