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title: optical and robust state estimation

Synonyms were used for: State • State Estimation
Search without synonyms: title: Optimal and Robust State Estimation

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    Methodology of multi-group particle filter for robust state estimation in nonlinear dynamic process systems

    Tingting Cao, / Zhang, Zhengjiang / Zhenglin Xu, et al. | IEEE | 2016
    State estimation plays an important role for both process control and fault detection. In this paper, a methodology of multi-group particle ...

    Active Scene Flow Estimation for Autonomous Driving via Real-Time Scene Prediction and Optimal Decision

    Wang, Shuaijun / Gao, Rui / Han, Ruihua et al. | IEEE | 2024
    framework of active scene flow estimation for AD applications, which consists of three main modules: robust scene flow estimation, reliable ...

    Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm

    Hossain Lipu, M. S. / Hannan, M. A. / Hussain, Aini et al. | IEEE | 2023
    This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV ...

    Estimation of model parameters and state-of-charge for battery management system of Li-ion battery in EVs

    Sangwan, Venu / Kumar, Rajesh / Rathore, Akshay K. | IEEE | 2017
    results reported that SPKF provides accurate and robust SOC estimation in compared EKF and could be efficiently applied in BMS for BEVS. ...

    Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization

    Chen, Zhaozhong / Biggie, Harel / Ahmed, Nisar et al. | IEEE | 2024
    The nonlinear and stochastic relationship between noise covariance parameter values and state estimator performance makes optimal filter ...

    An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries

    Gou, Bin / Xu, Yan / Feng, Xue | IEEE | 2021
    The state-of-health (SOH) estimation of lithium-ion batteries (LIBs) is of great importance to the safety of systems. In this article, a ...

    Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems

    Ferdowsi, Aidin / Challita, Ursula / Saad, Walid et al. | IEEE | 2018
    that seek to take control of the AVs by manipulating their data. In this paper, the state estimation process for monitoring AV dynamics, in ...

    A Cooperative Perception System Robust to Localization Errors

    Song, Zhiying / Wen, Fuxi / Zhang, Hailiang et al. | IEEE | 2023
    an inaccurate relative transform estimation and disrupt the robust mapping of the Ego vehicle. We propose a distributed object-level ...

    Robust Output-Feedback Predictive Control for Proximity Eddy Current Detumbling With Constraints and Uncertainty

    Liu, Xiyao / Chang, Haitao / Huang, Panfeng et al. | IEEE | 2023
    , a robust output-feedback controller considering safety corridor and model uncertainty is proposed by combining moving horizon estimation ...

    Robust $H_{2}$-OFIR Filtering: Improving Tracking of Disturbed Systems Under Initial and Data Errors

    Ortega-Contreras, Jorge A. / Shmaliy, Yuriy S. / Andrade-Lucio, Jose A. et al. | IEEE | 2022
    In harsh environments, tracking is organized assuming disturbances, initial errors, and data errors that requires robust algorithms. In ...

    An SVSF-Based Generalized Robust Strategy for Target Tracking in Clutter

    Attari, Mina / Luo, Zhongzhen / Habibi, Saeid | IEEE | 2016
    Autonomous self-drive requires intelligence and cognition that relies on observations and tracking of the state of motion of surrounding ...

    KALMANSAC: robust filtering by consensus

    Vedaldi, A. / Hailin Jin, / Favaro, P. et al. | IEEE | 2005
    the equations of the optimal filter, which makes our approximation explicit. Our work is motivated by real-time tracking and the estimation of ...

    Receding Horizon Estimation and Model Predictive Control for Basic Power Module with High Performance

    Zhou, Liwei / Preindl, Matthias | IEEE | 2022
    of RHE and MPC improves the steady state and dynamic performances with less noise, more robust behavior and higher control bandwidth. The ...

    Robust tracking control of attitude satellite with using new SMC and EKF for large maneuvers

    Jafarboland, M. / Sadati, N. / Momeni, H. | IEEE | 2006
    Control of a class of uncertain nonlinear systems which estimates unavailable state variables is considered. A new approach for robust ...

    An HMM/MRF-based stochastic framework for robust vehicle tracking

    Jien Kato, / Watanabe, T. / Joga, S. et al. | IEEE | 2004
    spatial-dependent information among neighboring regions into the tracking process, at the state-estimation stage, the output from the HMMs is ...

    Maximum Likelihood Approach to the Estimation and Discrimination of Exoatmospheric Active Phantom Tracks using Motion Features

    Bin Rao, / Shunping Xiao, / Xuesong Wang, et al. | IEEE | 2012
    method is employed to obtain more robust estimate of these parameters, and the estimated parameters combined with the CRLB are used for designing ...

    A New Online Travel Time Estimation Approach using Distorted Automatic Vehicle Identification Data

    Ma, Xiaoliang / Koutsopoulos, Haris N. | IEEE | 2008
    accurate real-time link travel times for traffic state prediction and RTIS applications, an optimal filtering algorithm is developed and evaluated ...

    PCRB and IMM for Target Tracking in the Presence of Specular Multipath

    Hernandez, Marcel / Farina, Alfonso | IEEE | 2020
    degraded at such times. Furthermore, it is shown that the IMM-EKF offers near-optimal performance, with target state estimation errors consistently ...

    Global sliding mode control based on disturbance observer for motor servo system and application to flight simulator

    Dong, Xiaomeng / Wu, Yunjie / Xiao, Song et al. | IEEE | 2014
    estimation error, which alleviates chattering greatly. The compound controller consists of an optimal linear state feedback controller (OLSFC), a ...

    A Novel Tuning Approach of the H∞ Filter for Longitudinal Tracking of Automated Vehicles

    Zubaca, Jasmina / Stolz, Michael / Watzenig, Daniel | IEEE | 2019
    , robust and efficient vehicle state estimation in the omnipresence of model imperfections and measurement noise, a synergetic combination of the ...

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