Evidence map›Paper›PMID 32033432›Full record

ArticleSensors (Basel, Switzerland)2020

Variable-Structure Near-Space Vehicles with Time-Varying State Constraints Attitude Control Based on Switched Nonlinear System.

Cong Feng, Qing Wang, Chen Liu, Changhua Hu, Xiaohui Liang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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

5 authors.

Cong FengDepartment of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Qing WangDepartment of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Chen LiuScience and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China.
Changhua HuDepartment of Automation, High-Tech Institute of Xi'an, Xi'an 710000, China.
Xiaohui LiangDepartment of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

Funding

National Natural Science Foundation of China 61622308National Natural Science Foundation of China 61833016National Natural Science Foundation of China 61873295National Natural Science Foundation of China 61933010
6 · The paper itself

Abstract

This study is concerned with the attitude control problem of variable-structure near-space vehicles (VSNSVs) with time-varying state constraints based on switched nonlinear system. The full states of vehicles are constrained in the bounded sets with asymmetric time-varying boundaries. Firstly, considering modeling uncertainties and external disturbances, an extended state observer (ESO), including two distinct linear regions, is proposed with the advantage of avoiding the peaking value problem. The disturbance observer is utilized to estimate the total disturbances of the attitude angle and angular rate subsystems, which are described in switched nonlinear systems. Then, based on the estimation values, the asymmetric time-varying barrier Lyapunov function (BLF) is employed to construct the active disturbance rejection controller, which can ensure the full state constraints are not violated. Furthermore, to resolve the 'explosion of complexity' problem in backstepping control, a modified dynamic surface control is proposed. Rigorous stability analysis is given to prove that all signals of the closed-loop system are bounded. Numerical simulations are carried out to demonstrate the effectiveness of the proposed control scheme.

Indexed as

active disturbance rejection controldynamic surface controlswitched nonlinear systemtime-varying state constraintsvariable structure near space vehicle

Identifiers

PMID32033432
PMCPMC7038718

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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.