Evidence map›Paper›PMID 39730525›Full record

ArticleScientific reports2024

Fractional order system identification using a joint multi-innovation fractional gradient descent algorithm.

Zishuo Wang, Beichen Chen, Hongliang Sun, Shuning Liang

Abstract read
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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zishuo WangSchool of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China.
Beichen ChenSchool of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China.
Hongliang SunSchool of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China.
Shuning LiangSchool of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China. liangshuning2019@163.com.

Funding

Jilin Province Science and Technology Development Plan Project YDZJ202401615ZYTSthe Education Department of Jilin Province JJKH20240314KJ
6 · The paper itself

Abstract

This paper proposes a joint multi-innovation fractional gradient descent identification algorithm for fractional order systems. First, the flexibility of fractional calculus is leveraged to design a joint fractional gradient descent algorithm capable of estimating system parameters and unknown orders. The estimated system parameters are used as the initial conditions to identify the unknown order, and the identified order is used as the update conditions for the system parameters. Through the joint iteration of two fractional order gradients, both the identified order and parameters are updated. In addition, multi-innovation theory is applied to extend the joint fractional gradient descent algorithm to a joint multi-innovation fractional gradient descent algorithm, which improves the system identification accuracy. Then, the convergence of the algorithm is theoretically analyzed. Finally, the effectiveness of the algorithm is verified through numerical simulation and an experiment on the identification of an actual flexible linkage system.

Indexed as

Convergence analysisFractional order systemIdentificationJoint fractional gradient descentMulti-innovation theory

Identifiers

PMID39730525
PMCPMC11680930

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.