scholarly journals Sensor Scheduling for Multiple Parameters Estimation under Energy Constraint

MILCOM 2006 ◽  
2006 ◽  
Author(s):  
Yi Wang ◽  
Mingyan Liu ◽  
Demosthenis Teneketzis
Keyword(s):  
Parameters Estimation ◽  
Sensor Scheduling ◽  
Energy Constraint ◽  
Multiple Parameters

scholarly journals Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Seong Beom Lee ◽  
Kishalay Mitra ◽  
Harry D. Pratt ◽  
Travis M. Anderson ◽  
Venkatasailanathan Ramadesigan ◽  
...  
Keyword(s):  
Systems Approach ◽  
Open Data ◽  
Cell System ◽  
Parameters Estimation ◽  
Suitable Model ◽  
Source Codes ◽  
Multiple Parameters ◽  
C 30 ◽  
Vanadium Redox ◽  
Batch Cell

Abstract In this paper, we study, analyze, and validate some important zero-dimensional physics-based models for vanadium redox batch cell (VRBC) systems and formulate an adequate physics-based model that can predict the battery performance accurately. In the model formulation process, a systems approach to multiple parameters estimation has been conducted using VRBC systems at low C-rates (∼C/30). In this batch cell system, the effect of ions' crossover through the membrane is dominant, and therefore, the capacity loss phenomena can be explicitly observed. Paradoxically, this means that using the batch system might be a better approach for identifying a more suitable model describing the effect of ions transport. Next, we propose an efficient systems approach, which enables to help understand the battery performance quickly by estimating all parameters of the battery system. Finally, open source codes, executable files, and experimental data are provided to enable people's access to robust and accurate models and optimizers. In battery simulations, different models and optimizers describing the same systems produce different values of the estimated parameters. Providing an open access platform can accelerate the process to arrive at robust models and optimizers by continuous modification from the users' side.

scholarly journals Loss weight adaptive multi-task learning based optical performance monitor for multiple parameters estimation

2019 ◽  
Vol 27 (25) ◽  
pp. 37041 ◽  
Author(s):  
Zhenming Yu ◽  
Zhiquan Wan ◽  
Liang Shu ◽  
Shaohua Hu ◽  
Yilun Zhao ◽  
...  
Keyword(s):  
Parameters Estimation ◽  
Optical Performance ◽  
Multiple Parameters ◽  
Task Learning ◽  
Performance Monitor

scholarly journals Multiple Parameters Estimation Based on Transmitter Side Information in Wireless Power Transfer System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 164835-164843
Author(s):  
Wenxun Xiao ◽  
Ruigeng Shen ◽  
Bo Zhang ◽  
Dongyuan Qiu ◽  
Yanfeng Chen ◽  
...  
Keyword(s):  
Side Information ◽  
Wireless Power Transfer ◽  
Parameters Estimation ◽  
Transfer System ◽  
Power Transfer ◽  
Wireless Power ◽  
Multiple Parameters ◽  
Wireless Power Transfer System

scholarly journals Research and application of parameter estimation method in hydrological model based on dual ensemble Kalman filter

2021 ◽  
Author(s):  
Mengtian Lu ◽  
Sicheng Lu ◽  
Weihong Liao ◽  
Xiaohui Lei ◽  
Zhaokai Yin ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Assimilation Efficiency ◽  
Estimation Method ◽  
Initial Distribution ◽  
Parameters Estimation ◽  
Model Parameters ◽  
Multiple Parameters ◽  
Basin Surface

Abstract Although field measurements and using long hydrological datasets provide a reliable method for parameters' calibration, changes in the underlying basin surface and lack of hydrometeorological data may affect parameter accuracy in streamflow simulation. The ensemble Kalman filter (EnKF) can be used as a real-time parameter correction method to solve this problem. In this study, five representative Xin'anjiang model parameters are selected to study the effects of the initial parameter ensemble distribution and the specific function form of the parameter on EnKF parameter estimation process for both single and multiple parameters. Results indicate: (1) the method of parameter calibration to determine the initial distribution mean can improve the assimilation efficiency; (2) there is mutual interference among the parameters during multiple parameters' estimation which invalidates some conclusions of single-parameter estimation. We applied and evaluated the EnKF method in Jinjiang River Basin, China. Compared to traditional approaches, our method showed a better performance in both basins with long hydrometeorological dataset (an increase of Kling–Gupta efficiency (KGE) from 0.810 to 0.887 and a decrease of bias from −1.08% to −0.74%); and in basins with a lack of hydrometeorological data (an increase of KGE from 0.536 to 0.849 and a decrease of bias from −15.55% to −11.42%).

scholarly journals Multiple Parameters Estimation of BOC Signal in Multipath Environment

2018 ◽  
Vol 173 ◽  
pp. 03064
Author(s):  
Yang Wang ◽  
Yang Zhou
Keyword(s):  
Estimation Algorithm ◽  
Parameters Estimation ◽  
Low Snr ◽  
Multiple Parameters ◽  
Multidimensional Search ◽  
Spectral Peaks ◽  
Parameter Estimation Algorithm ◽  
Multipath Environment ◽  
The Time Domain ◽  
Cyclic Spectrum

For the multiple parameters estimation of BOC signal at the low SNR and multipath environment, the method which applies the characteristics of cyclic spectrum is developed. Firstly, the cyclic spectrum function of multipath BOC signal is derived. Then the cyclostationary property of BOC signal is analyzed. Finally, a novel parameter estimation algorithm of BOC signal, which makes use of the position of cyclic spectral peaks to estimate the carrier frequency, the subcarrier rate and PN code rate, is present. In the experiment the time-domain smoothing method is used to calculate the cyclic spectrum of BOC signal when the frequency is equal to zero in order to avoid the multidimensional search. At the same time using the method of the cumulative average can increase the SNR margin of the algorithm. Simulation results show that the multiple parameters of multipath BOC signal can be estimated effectively and the estimation performance is associated with the multipath environment.

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