In this paper, we present a collection of cloud-aided consensus-based Recursive Least-Squares (RLS) estimators. The approaches are tailored to handle linear and ...
In this paper, we present a collection of cloud-aided consensus-based Recursive Least-Squares (RLS) estimators. The approaches are tailored to handle linear and ...
In this paper, we present a collection of cloud-aided consensus-based Recursive Least-Squares (RLS) estimators. The approaches are tailored to handle linear and ...
Since we are interested in estimating the unknown parameters both locally and on the cloud, we present cloud-aided solutions for constrained collaborative least ...
This paper presents a cloud-aided iterative solution for multi-class parameter estimation for a set of mass-produced devices that exploits the similarity ...
Dive into the research topics of 'Cooperative constrained parameter estimation by ADMM-RLS'. Together they form a unique fingerprint. Sort by; Weight ...
With recent advances in cloud computing, resources with customizable computational power and memory can be exploited to store and analyze data collected ...
constraints on the parameter values. These additional con- straints can be used to enforce the global parameter θg to belong to a convex set C (with Cn = C ...
Missing: Cooperative | Show results with:Cooperative
Cooperative constrained parameter estimation by ADMM-RLS. V Breschi, A Bemporad, IV Kolmanovsky. Automatica 121, 109175, 2020. 8, 2020. Social network analysis ...
[3].Breschi V., Bemporad A., and Kolmanovsky I.V.. Cooperative constrained parameter estimation by ADMM-RLS. Automatica, 121:109175, 2020. Google Scholar ...