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1
A Note On the Estimation of the Poisson Parameter
Published 1985-01-01Subjects: Get full text
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2
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models
Published 2025-03-01Subjects: “…Observer error…”
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3
Fuzzy sliding mode control based on an adaptive sliding surface and extended state observer for automotive electric power steering
Published 2025-01-01“…The computational results reveal that the output signals of the system controlled by the proposed method closely track the desired values, with errors not exceeding 1.5% (except for the assisted current). The observed error of the system disturbance does not exceed 12.172%, while the observed error of the remaining state variables is less than 3%. …”
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4
Anti-jamming transmission in a multi-channel wireless network based on incomplete information dynamic game
Published 2018-02-01“…Intelligent jammer can analyze the history of user’s transmission and control their own behavior,so it has brought new threats to the wireless network.In order to analyze the behavior of users and intelligent jammers in a multi-channel wireless network,a dynamic Stackelberg game with incomplete information was modelled.In the model,it was assumed that the intelligent jammer followed the user and they transmitted at a same wireless channel,and both of them took power control as their strategy.Furthermore,their benefit functions were designed of which the observation error of the jammer was taken into account.Then,the Stackelberg equilibrium (SE) point of the game model was derived and the existence and the uniqueness of the SE were proved.The validity of the multi-channel dynamic Stackelberg game anti-jamming model with incomplete information was verified by simulations.…”
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5
A Finite-Time Fractional-Order Error Extended State Observer for Hypersonic Vehicle
Published 2024-01-01“…Theoretical analysis has confirmed that the observation error of FTFOEESO is uniformly bounded. Finally, this paper conducts experiments using both conventional simulation and semiphysical simulation systems. …”
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Short-term prediction method of oblique sounding ionosphere MUF based on robust Kalman filter
Published 2021-01-01“…To improve the low accuracy of ionospheric frequency forecasting, poor HF communication connectivity, and the severe impact of observational outliers in engineering on forecast accuracy, a short-term prediction method for oblique detection ionospheric MUF based on robust Kalman filtering was proposed.By studying the variation law of the measured MUF data and the causes as well as characteristics of observation errors, and exploiting the ionospheric reference model as a priori information, the state estimation equation of the Kalman filter model was improved.The cost function mechanism was introduced to realize the measurement update of the forecast state through Huber-M estimation, which reduced the influence of the observation outliers on the forecast results and improves the robustness of the proposed method.The simulation results show that the proposed method can effectively suppress the adverse effects caused by the observation outliers and has good robustness and stability.…”
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An Adaptive Estimation Scheme for Open-Circuit Voltage of Power Lithium-Ion Battery
Published 2013-01-01“…Then the implementation procedure of the adaptive scheme is given; also the asymptotic convergence of the observer error and the boundedness of all the parameter estimates are proven. …”
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A New Data Assimilation Scheme: The Space-Expanded Ensemble Localization Kalman Filter
Published 2013-01-01“…The results show that the SELKF outperforms the perturbed EnKF given a relatively small ensemble size, especially when the length scale is relatively long or the observation error covariance is relatively small.…”
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An Evapotranspiration Assimilation Method Based on Ensemble Kalman Filter and À Trous Wavelet
Published 2013-01-01“…The proposed method combines the advantages of the PEKF that is capable of accommodating model error and observation error, and the AWT can effectively perform multiresolution fusion. …”
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Connaissances médicales actuelles, cotation des enthésopathies : nouvelle méthode
Published 2006-06-01“…With this method, intra- and inter-observer errors are less than 10%. Application of this scoring method on archaeological skeletons of known age, sex and activity would allow us to discuss the respective relevance of the use of fibrous and fibrocartilaginous entheses for the interpretation of behaviour and activities of past human populations.…”
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Path Planning and Control of a Quadrotor UAV Based on an Improved APF Using Parallel Search
Published 2021-01-01“…Considering the external disturbance acting on the quadrotor, a nonlinear disturbance observer (NDO) is developed to guarantee observation error to exponentially converge to zero. Furthermore, a backstepping controller synthesized with the NDO is designed to eliminate tracking errors of attitude. …”
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Fault Estimation Method for Nonlinear Systems With Perturbations Based on Augmented Fault Observer
Published 2025-01-01“…First, an augmented fault observer for linear systems with perturbations is designed, and the sufficient conditions for the asymptotic stability of the observation error system are ascertained so that the state of the singular system can be observed. …”
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Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region
Published 2017-01-01“…The “observations” are the projections of the truth onto the observational network including ocean station data, CTD, and various BTs and Argo, by adding white noise to simulate observational errors. The data assimilation method employed is a sequential three-dimensional variational (3D-Var) scheme within a multigrid framework. …”
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Adaptive Positioning Control of Multi-Point Moorings with Disturbance Observation Under Input Constraints
Published 2024-12-01“…Simultaneously, the adaptive law of the σ-corrected leakage term is employed to estimate the bound of the disturbance observation error, thereby enhancing positioning accuracy. …”
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A Dynamical Stability Study of Triple-Star Systems Using Physical and Geometrical Parameters
Published 2021-03-01“…The reasons for the instability of these systems are most likely the observational errors or the unreal theoretical criteria. …”
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ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin
Published 2018-01-01“…In this assimilation, the ensemble Kalman filter (EnKF) is adopted with full consideration of the model and observation error, the rescaling technique for satellite SM, and the regional applicability of the hydrological model. …”
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A Tool to Improve Accuracy of Parental Measurements of Preschool Child Height
Published 2015-01-01“…In Phase A, 24 parents were observed measuring child height using written instructions and an easy-to-read tape measure; after each of 3 testing rounds, instructions were refined based on observed errors and parent versus researcher measurements. …”
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Sliding Mode Control for Variable-Speed Trajectory Tracking of Underactuated Vessels with TD3 Algorithm Optimization
Published 2025-01-01“…Moreover, an adaptive law is designed to estimate the upper bound of the unknown disturbances, ensuring system stability even in the presence of asymptotic observation errors. Finally, the Twin-Delayed Deep Deterministic Policy Gradient (TD3) algorithm is employed for real-time controller parameter tuning. …”
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Active Disturbance Rejection Power Predictive Control of Rectifier Based on Bus Voltage Optimized ESO Observer
Published 2024-01-01“…The results show that the observation error of the proposed strategy is within 2 V, which is down about 2 V from direct power control and model predictive direct power control. …”
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CMIP6 GCMs Projected Future Koppen‐Geiger Climate Zones on a Global Scale
Published 2025-01-01“…While temperature discrepancies of 1–2°C may not drastically alter the Köppen‐Geiger climate zone classifications, precipitation‐based classifications are significantly impacted by the observed errors. Thus, it is crucial to recognize that despite the advancements in GCMs, they still possess limitations in accurately predicting “real” future climate changes. …”
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