Results 281 to 290 of about 2,843,178 (314)

Adaptive suspension state estimation based on IMMAKF on variable vehicle speed, road roughness grade and sprung mass condition. [PDF]

Sci Rep
Wu X, Shi W, Zhang H, Chen Z.
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Multi-Algorithm Fusion Method for State Estimation of Usv Based on Gs-Stsckf and Credibility Theory Coupling

Yuanliang Wang, Xiaoqing Meng, Liangyi Zhang, Xinwei Liu, Linyu Dai   +4 more
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State of charge estimation for lithium-ion batteries based on Gated Recurrent Unit neural network and an Adaptive Unscented Kalman Filter

Wei Song, Chengji Zhao, Chao Yang, Mingda Wu, Suizheng Qiu, Ronghui An   +5 more
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Constrained State Estimation using Lie Theory: Application to Directional Drilling

Kai S. Karvinen
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Harmonic State Estimation and Transient State Estimation

2006
This thesis describes the algorithms and techniques developed for harmonic state estimation and transient state estimation, which can be used to identify the location of disturbance sources in an electrical power system. The previous harmonic state estimation algorithm is extended to include the estimation of time-varying harmonics using an adaptive ...
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Memory-Based State-Estimation

Fundamenta Informaticae, 2008
In this paper we introduce a state-estimation method that uses a short-term memory to calculate the current state. A common way to solve state estimation problems is to use implementations of the Bayesian algorithmlike Kalman filters or particle filters. When implementing a Bayesian filter several problems can arise.
Jüngel, Matthias, Mellmann, Heinrich
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Reinforcement Learning State Estimator

Neural Computation, 2007
In this study, we propose a novel use of reinforcement learning for estimating hidden variables and parameters of nonlinear dynamical systems. A critical issue in hidden-state estimation is that we cannot directly observe estimation errors. However, by defining errors of observable variables as a delayed penalty, we can apply a reinforcement learning ...
Jun, Morimoto, Kenji, Doya
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Vehicle State Estimation Based on Unscented Kalman State Estimation

2008 International Symposium on Computational Intelligence and Design, 2008
This paper presents a method of estimating vehicle states using an Unscented Kalman filter (UKF). The UKF developed estimates Vehicle motion, such as yaw rate and side slip angle, from the noisy measurement set. The vehicle state estimation using a non-linear vehicle model with Unitire tire model will be compared to the measured state which is ...
Tianjun Zhu, Hongyan Zheng
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