2020
DOI: 10.1016/j.automatica.2020.109175
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Cooperative constrained parameter estimation by ADMM-RLS

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Cited by 6 publications
(1 citation statement)
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“…The purpose of this paper is to design the distributed algorithm for each sensor by using the local information from its neighbors to estimate both the system orders p 0 , q 0 and the parameter vector θ(p 0 , q 0 ) . We know that for the case where the system orders p 0 , q 0 are known, the distributed LS algorithm is one of the most basic algorithms to estimate the unknown parameters, and it has wide applications because of its fast convergence rate, e.g., in the area of cloud technologies (e.g., [39]). The details of the distributed LS algorithm can be found in the following Algorithm 2.1 (see [36]).…”
Section: Problem Formulationmentioning
confidence: 99%
“…The purpose of this paper is to design the distributed algorithm for each sensor by using the local information from its neighbors to estimate both the system orders p 0 , q 0 and the parameter vector θ(p 0 , q 0 ) . We know that for the case where the system orders p 0 , q 0 are known, the distributed LS algorithm is one of the most basic algorithms to estimate the unknown parameters, and it has wide applications because of its fast convergence rate, e.g., in the area of cloud technologies (e.g., [39]). The details of the distributed LS algorithm can be found in the following Algorithm 2.1 (see [36]).…”
Section: Problem Formulationmentioning
confidence: 99%