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Multi-Sensor Recursive EM Algorithm for Robust Identification of ARX Models [PDF]

open access: yesSensors
A robust multi-sensor recursive Expectation-Maximization (RMSREM) algorithm is proposed in this paper for autoregressive eXogenous (ARX) models, addressing the challenges of heavy-tailed noise, as well as the difficulty in simultaneously processing multi-
Xin Chen, Jiale Li
doaj   +2 more sources

The Evolution of Fiscal Policy and Public Debt Dynamics: The Case of Sweden

open access: yesGospodarka Narodowa. The Polish Journal of Economics, 2022
The aim of the paper is to evaluate the long-run sustainability of fiscal policy in Sweden using a time-varying fiscal reaction function. Sufficient sustainability conditions are discussed, and it is demonstrated that fiscal sustainability is consistent ...
Anna Staszewska-Bystrova, Victor Bystrov
doaj   +1 more source

A Wave Peak Frequency Tracking Method Based on Two-Stage Recursive Extended Least Squares Identification Algorithm

open access: yesIEEE Access, 2021
This paper proposes the wave peak frequency tracking methods based on the least squares identification algorithm. The wave disturbance model is transformed into an autoregressive moving average (ARMA) model and a recursive extended least squares (RELS ...
Jianping Yuan   +4 more
doaj   +1 more source

Identification by Recursive Least Squares With Kalman Filter (RLS-KF) Applied to a Robotic Manipulator

open access: yesIEEE Access, 2021
The field of robotics has grown a lot over the years due to the increasing necessity of industrial production and the search for quality of industrialized products.
Darielson A. De Souza   +9 more
doaj   +1 more source

A recursive identification algorithm for linear discrete periodic systems

open access: yesIET Control Theory & Applications, 2023
The parameter identification problem of linear discrete period time‐varying (LDPV) systems is studied in this paper and a two‐step identification algorithm based on the recursive least squares principle is proposed.
Lingling Lv   +3 more
doaj   +1 more source

Maximum Likelihood Identification of Dual-rate Hammerstein Systems

open access: yesNantong Daxue xuebao. Ziran kexue ban, 2021
Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
doaj   +1 more source

The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube

open access: yesApplied Sciences, 2023
A tunnel tube is a relatively small space that allows for the accumulation of gaseous and liquid substances containing harmful substances. Given this fact, a ventilation system is the most critical component of a tunnel’s technological equipment, greatly
Jozef Hrbček   +3 more
doaj   +1 more source

The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise

open access: yesAlgorithms, 2018
This paper develops a bias compensation-based parameter and state estimation algorithm for the observability canonical state-space system corrupted by colored noise.
Xuehai Wang   +3 more
doaj   +1 more source

Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems

open access: yesIEEE Access, 2019
In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou   +4 more
doaj   +1 more source

Model parameter on-line identification with nonlinear parametrization – manipulator model

open access: yesTechnical Transactions, 2022
This paper presents an example of solving the parameter identification problem in the case of a robot with two degrees of freedom. In this study, a weighted recursive least squares algorithm was generalised to a case of nonlinear parameterisation in ...
Cedro Leszek
doaj   +1 more source

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