Evidence map›Paper›PMID 42203846›Full record

ArticleScientific reports2026

Adaptive constraint-following control for maintenance robotic manipulator with uncertainties.

Yuze Ma, Da Xu, Zhaoyang Wang, Guoyun Dai

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuze MaDepartment of Arms and Control, Army Academy of Armored Forces, Beijing, China.
Da XuDepartment of Arms and Control, Army Academy of Armored Forces, Beijing, China. zxyxd2022@sina.com.
Zhaoyang WangDepartment of Arms and Control, Army Academy of Armored Forces, Beijing, China.
Guoyun DaiDepartment of Arms and Control, Army Academy of Armored Forces, Beijing, China.

Funding

China Postdoctoral Science Foundation No. 2025M774464
6 · The paper itself

Abstract

To enhance the reliability and motion stability of the maintenance robotic manipulator system for armored vehicles, we propose a novel adaptive robust control methodology based on the Udwadia-Kalaba (UK) dynamic framework. To address the challenges such as parameter uncertainties and external disturbances in the system, a crucial leakage mechanism is integrated into the adaptive law, which not only suppresses the unbounded growth of the adaptive parameters under continuous disturbances, but also automatically attenuates the control gain when the error converges, significantly improving the smoothness of the controller's transient response. Finally, we validate the effectiveness of the proposed controller via co-simulation in a multibody dynamics environment.

Identifiers

PMID42203846
PMCPMC13443602

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.