Conditionally minimax algorithm for nonlinear system state estimation

1994 ◽  
Vol 39 (8) ◽  
pp. 1617-1620 ◽  
Author(s):  
A.R. Pankov ◽  
A.V. Bosov
Keyword(s):  
Nonlinear System ◽  
State Estimation ◽  
System State

scholarly journals Stability Control of Energy Saving Electric Vehicle Using Dynamic Nonlinear System State Estimation

Fractals ◽  
2021 ◽  
Author(s):  
Liancheng Zhang ◽  
Weiping Ai ◽  
Zhibin Liu ◽  
Long Zhang ◽  
Xinmiao Teng
Keyword(s):  
Nonlinear System ◽  
State Estimation ◽  
Energy Saving ◽  
Electric Vehicle ◽  
Stability Control ◽  
System State

Carrier Aircraft Urgent Takeoff In-Flight Alignment Extended Set-Membership Estimation

2014 ◽  
Vol 945-949 ◽  
pp. 2772-2779
Author(s):  
Yi Yao ◽  
Shuang Pan ◽  
Yu Qiang Wu
Keyword(s):  
Time Delay ◽  
Nonlinear System ◽  
State Estimation ◽  
Robust Estimation ◽  
Inertial Navigation System ◽  
Estimation Algorithm ◽  
System State ◽  
Nonlinear Error ◽  
Set Membership ◽  
Measurement Delay

This paper considers the nolinear system robust estimation problem with measurement time delay. The purpose is to provide algorithm for inertial navigation system nonlinear error model in transmittion delay case. Considering that innovation regroup method can treat the measurement delay problem better with no addition of system state dimension, and decrease the system computation, therefore, that algorithm is combined with extended set-membership estimation and deduce the distrete nonlinear system extended set-membership estimation algorithm with measurement delay, realize nonlinear system varying state estimation and the treatment of measurement delay. At last, apply the algorithm to carrier aircraft in-flight alignment and validate the effecitiveness.

POWER SYSTEM STATE ESTIMATION USING A ROBUST ESTIMATOR

2019 ◽  
Vol XVI (4) ◽  
pp. 53-65
Author(s):  
Zahid Khan ◽  
Katrina Lane Krebs ◽  
Sarfaraz Ahmad ◽  
Misbah Munawar
Keyword(s):  
Power Systems ◽  
State Estimation ◽  
Loss Function ◽  
Weighted Least Squares ◽  
Primary Data ◽  
Robust Estimator ◽  
System State ◽  
State Estimator ◽  
Suggested Approach ◽  
Power System State Estimation

State estimation (SE) is a primary data processing algorithm which is utilised by the control centres of advanced power systems. The most generally utilised state estimator is based on the weighted least squares (WLS) approach which is ineffective in addressing gross errors of input data of state estimator. This paper presents an innovative robust estimator for SE environments to overcome the non-robustness of the WLS estimator. The suggested approach not only includes the similar functioning of the customary loss function of WLS but also reflects loss function built on the modified WLS (MWLS) estimator. The performance of the proposed estimator was assessed based on its ability to decrease the impacts of gross errors on the estimation results. The properties of the suggested state estimator were investigated and robustness of the estimator was studied considering the influence function. The effectiveness of the proposed estimator was demonstrated with the help of examples which also indicated non-robustness of MWLS estimator in SE algorithm.

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