Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
, 2009 Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
core +1 more source
Distributed estimation of diameter, radius and eccentricities in anonymous networks [PDF]
, 2012 We consider how a set of collaborating agents can distributedly infer some of the properties of the communication network that they form. We specifically focus on estimating quantities that can characterize the performance of other distributed algorithms,
Johansson K. H., Varagnolo D., Garin F.
core +2 more sources
Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks
IEEE Open Journal of Vehicular Technology, 2020 Intelligent vehicular networks (IVNs) have drawn substantial interests in recent years due to its great potential in enabling diverse applications in the fifth-generation (5G) and beyond communication systems.
Weijie Yuan +3 more
doaj +1 more source
Distributed estimation for nonlinear systems [PDF]
Automatica, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Battilotti, M. Mekhail
openaire +5 more sources
Competitive Distribution Estimation
CoRR, 2015 15 ...
Alon Orlitsky, Ananda Theertha Suresh
openaire +2 more sources
Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle
IEEE Access, 2019 Distributed estimation is a typical application of wireless sensor network (WSN), where a set of sensor nodes (SNs) collaboratively estimate some parameters of interest from noisy measurements.
Cheng Zhan, Guo Yao
doaj +1 more source
Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo
IEEE Access, 2020 This paper addresses the cooperative localization problem for a multiagent system in the framework of belief propagation. In particular, we consider the RoboCup 3D Soccer Simulation scenario, in which the networked agents are able to obtain simulated ...
Guilherme C. G. Fernandes +3 more
doaj +1 more source
MIMO Over-the-Air Computation for Distributed Estimation
Applied Sciences, 2023 MIMO over-the-air computation (MIMO-AirComp) is a recently proposed technique that leverages the superposition property of the multiple access channel to compute the target multifunction of various applications. This article presents how the MIMO-AirComp
Pangun Park +2 more
doaj +1 more source
The LASSO estimator: Distributional properties [PDF]
Kybernetika, 2018 15 pages, 3 ...
Rakshith Jagannath, Neelesh S. Upadhye
openaire +2 more sources
Sparse Diffusion Least Mean-Square Algorithm with Hard Thresholding over Networks
Mathematics, 2023 This paper proposes a distributed estimation technique utilizing the diffusion least mean-square (LMS) algorithm, specifically designed for sparse systems in which many coefficients of the system are zeros.
Han-Sol Lee +3 more
doaj +1 more source