Nonlinear State Estimation Using Adaptive Gaussian Filters with One-Step Randomly Delayed Measurements

2021 ◽  
pp. 203-220
Author(s):  
Poluri Sri Mannarayana ◽  
Aritro Dey
Keyword(s):  
State Estimation ◽  
Gaussian Filters ◽  
Nonlinear State Estimation ◽  
One Step ◽  
Delayed Measurements ◽  
Nonlinear State

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Scaling Factor ◽  
Estimation Accuracy ◽  
Nonlinear State Estimation ◽  
Cubature Kalman Filter ◽  
Novel Method ◽  
Simulation Results ◽  
Tracking Filter ◽  
Nonlinear State

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

Path-planning in autonomous electric vehicle using nonlinear state estimation and behaviour-based controllers

2017 ◽  
Vol 12 (3/4) ◽  
pp. 304
Author(s):  
N. Muthukumar ◽  
K. Ramkumar ◽  
Seshadhri Srinivasan ◽  
G. Saravanakumar ◽  
B. Subathra
Keyword(s):  
Path Planning ◽  
State Estimation ◽  
Electric Vehicle ◽  
Nonlinear State Estimation ◽  
Nonlinear State
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