Results 11 to 20 of about 377,929 (357)
Distributed State Estimation Based Distributed Model Predictive Control
Mathematics, 2021 In this work, we consider output-feedback distributed model predictive control (DMPC) based on distributed state estimation with bounded process disturbances and output measurement noise. Specifically, a state estimation scheme based on observer-enhanced
Jing Zeng, Jinfeng Liu
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Distributed Estimation and Control in Networked Systems [PDF]
, 2006 Rapid advances in information processing, communication and sensing technologies have enabled more and more devices to be provided with embedded processors, networking capabilities and sensors.
Gupta, Vijay, Vijay Gupta
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Disturbance-Blocking-Based Distributed Receding Horizon Estimation of Flexible Joint Robots
Shanghai Jiaotong Daxue xuebao, 2022 Considering the state monitoring problem of flexible joint robots (FJRs) caused by the easy deformation in practice, a distributed receding horizon estimation algorithm based on disturbance blocks is proposed.
XU Chenhui, YU Fanghui, HE Defeng
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Distributed Incremental Least Mean-Square for Parameter Estimation using Heterogeneous Adaptive Networks in Unreliable Measurements [PDF]
Journal of Artificial Intelligence and Data Mining, 2017 Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world.
M. Farhid, M. Shamsi, M. H. Sedaaghi
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Distributed estimation and quantization [PDF]
IEEE Transactions on Information Theory, 1993 Summary: An algorithm is developed for the design of a nonlinear, \(n\)-sensor, distributed estimation system subject to communication and computation constraints. The algorithm uses only bivariate probability distributions and yields locally optimal estimators that satisfy the required system constraints.
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Distributed Estimation and Detection under Local Information [PDF]
, 2010 This work considers the problem of obtaining optimal estimates via distributed computation in a large scale system. The electric power system, the transportation system, and generally any computer or network system, are examples of large scale systems: a
F. Bullo +11 more
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Robust Distributed Clustering Algorithm Over Multitask Networks
IEEE Access, 2018 We propose a new adaptive clustering algorithm that is robust to various multitask environments. Positional relationships among optimal vectors and a reference signal are determined by using the mean-square deviation relation derived from a one-step ...
Jun-Taek Kong +3 more
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Efficient Distributed Multi-Task Schemes for mmWave MIMO Channel Estimation
IEEE Access, 2022 In this study, the problem of sparse channel estimation is investigated with the employment of a fully distributed approach. We exploit the spatially joint sparsity structure of the involved channels to formulate the channel estimation problem in the ...
Maria Trigka +2 more
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IEEE Access, 2017 A diffusion general mixed-norm (DGMN) algorithm for distributed estimation over network (DEoN) is proposed. The standard diffusion adaptive filtering algorithm with a single error norm exhibits slow convergence speed and poor misadjustments under ...
Wentao Ma +4 more
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Reconfigurable Slip Vectoring Control in Four In-Wheel Drive Electric Vehicles
Actuators, 2021 Controllability, maneuverability, fault-tolerance/isolation and safety are significantly enhanced in electric vehicles (EV) equipped with the redundant actuator configuration of four-in-wheel electric motors (4IWM).
Gerardo Amato, Riccardo Marino
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