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State Estimation With Initial State Uncertainty

IEEE Transactions on Information Theory, 2008
The problem of state estimation with initial state uncertainty is approached from a statistical decision theory point of view. The initial state is regarded as deterministic and unknown. It is only known that the initial state vector belongs to a specified parameter set.
Yoav Levinbook, Tan F. Wong
openaire   +1 more source

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.
Matthias Jüngel, Heinrich Mellmann
openaire   +3 more sources

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
openaire   +2 more sources

Performance Comparison of Nonlinear State Estimators for State-of-Charge Estimation of Supercapacitor

2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), 2021
Accurate state-of-Charge (SOC) estimation of supercapacitor is very crucial for real-time energy management and control of the energy storage device. This paper deals with performance comparison and analysis of the two most commonly used SOC estimators, namely Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for remaining charge ...
Saha, Manika   +2 more
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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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State estimation for snake robots

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
We present a comparison of methods to estimate the shape and orientation of a locomoting snake robot by fusing the robot's redundant internal proprioceptive sensors using and Extended Kalman Filter (EKF). All of the estimators used in this work represent the shape of the snake with gait parameters to reduce the complexity of the robot configuration ...
David Rollinson   +2 more
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State estimation for a hexapod robot

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
This paper introduces a state estimation methodology for a hexapod robot that makes use of proprioceptive sensors and a kinematic model of the robot. The methodology focuses on providing reliable full pose state estimation for a commercially-available hexapod robot platform with the use of only commonly-available sensors.
Estelle Lubbe   +2 more
openaire   +1 more source

Bioreactor state estimation and control

Current Opinion in Biotechnology, 2003
Advanced control methods have been effectively employed for industrial chemical processing for decades. Only recently, however, have model-based strategies been implemented for biological processes. Some notable advances include the enhancement of metabolic flux models to describe the dynamic behavior observed in biochemical reactors.
Claire, Komives, Robert S, Parker
openaire   +2 more sources

State Estimates of Uninsured Children

Health Affairs, 1993
About twelve million American children lack health insurance. Attempts to assess the effectiveness of Medicaid expansions and other reforms are hampered by the lack of reliable state-level data on this population. This DataWatch presents baseline statistics on the insurance status of children, based on the Current Population Surveys from 1988, 1989 ...
J D, Cartland, B K, Yudkowsky
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State Estimation

2020
Urban Kuhar   +2 more
openaire   +2 more sources

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