Suchergebnisse - Robust distributed parameter estimation

Robust Distributed Parameter Estimation of Nonlinear Systems With Missing Data Over Networks von Chen, Sicong, Liu, Ying

“… Considering this, in this article, two robust distributed estimation algorithms are proposed for estimating the parameters of nonlinear Hammerstein systems with missing data …”
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An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter von Sawada, Yohei, Duc, Le

“… While a model parameter estimation, which allows parameters to change spatio‐temporally, shows promise in quantifying and mitigating systematic model errors, the estimation of the spatio …”
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Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks von Rajput, Kunwar Pritiraj, Ahmed, Mohammad Faisal, Venkategowda, Naveen K. D., Jagannatham, Aditya K., Sharma, Govind, Hanzo, Lajos

“… An optimal precoder design is conceived for the decentralized estimation of an unknown spatially as well as temporally correlated parameter vector in a multiple-input multiple-output (MIMO …”
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Distributed and robust parameter estimation of IIR systems using incremental particle swarm optimization von Majhi, Babita, Panda, Ganapati

“… Hence for problems like distributed parameters estimation of IIR systems, alternative distributed algorithms are required to be developed …”
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Collaborative Parameter Estimation of Multiple Unmanned Surface Vessels: A Robust Distributed Estimator-Based Approach von Shen, Han, Wen, Guanghui, Lv, Yuezu

“… The considered parameter estimation problem is first converted into a distributed state and parameter joint estimation problem …”
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Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors von Jiang Zhu, Blum, Rick S., Xiaokang Lin, Yuantao Gu

“… In this letter, we study the problem of estimating a complex parameter in a wireless sensor network under individual power constraints and bounded channel uncertainty, where the channel state …”
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Robust Sensor Fault Detection and Estimation for Parabolic Distributed Parameter Systems von Wang, Kui, Zhou, Jinhui, Shen, Wenjing, Zhou, Yu, Wei, Peng, Mou, Xiaolin, Chen, Liqun

“… Sensors play a key role in monitoring distributed parameter systems (DPSs), such as thermal and chemical diffusion-reaction processes …”
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Robust Collaborative Dynamic Parameter Estimation for Multirobot Systems: A Distributed Variational Inference-Based Approach von Shen, Han, Wen, Guanghui

“… To this end, a new collaborative parameter estimation strategy is proposed in this article, allowing decentralized fusion estimation and distributed computations …”
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Outlier-robust tri-percentile parameter estimation of compound-Gaussian clutter with lognormal distributed texture von Feng, Tian, Shui, Peng-Lang

“… In this paper, an outlier-robust tri-percentile estimator is proposed to realize the robust parameter estimation of the CG-LNT model of sea clutter …”
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Robust Distributed Parameter Estimation in Wireless Sensor Networks von Lee, Jongmin

“… This dissertation considers robust distributed parameter estimation methods, seeking global consensus on parameters of adaptive learning algorithms and statistical quantities …”
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Robust, Distributed Estimation of Internal Wave Parameters via Inter-Drogue Measurements von Ouimet, Michael, Cortes, Jorge

“… This paper considers a group of drogues estimating the physical parameters that determine the dynamics of an ocean linear internal wave …”
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Application of reduced models for robust control and state estimation of a distributed parameter system von Ding, Limei, Johansson, Andreas, Gustafsson, Thomas

“… This paper studies the application of reduced models of a distributed parameter system for robust process control and state estimation …”
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Robust distributed state estimation for genetic regulatory networks with markovian jumping parameters von Lv, Bei, Liang, Jinling, Cao, Jinde

“… ► The criteria derived are in the form of the linear matrix inequalities (LMIs). In this paper, the robust distributed state estimation problem is dealt with for the delayed genetic regulatory networks (GRNs …”
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Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation von Lorenz-Meyer, Nicolai, Wurfel, Hans, Schiffer, Johannes

“… required for estimating the overall system inertia. We address this problem by proposing a fully distributed inertia estimation algorithm with rigorous analytical convergence guarantees …”
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A review of robust distributed estimation strategies over wireless sensor networks von Modalavalasa, Sowjanya, Sahoo, Upendra Kumar, Sahoo, Ajit Kumar, Baraha, Satyakam

“… algorithms to tackle outliers.•The manuscript reviews robust distributed algorithms available in the literature for parameter estimation and it mainly focuses on robust distributed estimation using loss functions …”
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Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling von Xu, Yong, Lu, Renquan, Shi, Peng, Tao, Jie, Xie, Shengli

“… This paper studies the issue of robust state estimation for coupled neural networks with parameter uncertainty and randomly occurring distributed delays, where the polytopic model is employed …”
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Robust distributed linear parameter estimation in wireless sensor network von Panigrahi, T., Mulgrew, B., Majhi, B.

“… In this paper a simple iterative robust distributed linear parameter estimation algorithm is proposed where the diffusion co-operation scheme is incorporated …”
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Stubborn H∞ state estimation for nonlinear distributed parameter systems subject to measurement outliers von Sun, Jie, Shen, Bo, Qi, Jie, Liu, Yufei

“… In this article, the H∞ state estimation problem is investigated for a class of distributed parameter systems (DPSs …”
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Stubborn state estimation for nonlinear distributed parameter systems subject to measurement outliers von Sun, Jie, Shen, Bo, Qi, Jie, Liu, Yufei

“… In this article, the state estimation problem is investigated for a class of distributed parameter systems (DPSs …”
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An efficient and robust estimation of spatio-temporally distributed parameters in dynamic models by an ensemble Kalman filter von Sawada, Yohei, Le, Duc

“… While a model parameter estimation, which allows parameters to change spatio-temporally, shows promise in quantifying and mitigating systematic model errors, the estimation of the spatio-temporally …”
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