Moshu Qian

Moshu Qian

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2012 in Journal of the Franklin Institute
Verified
Journal Article
Closed access
ZGZhifeng Gao
Zhifeng Gao
BJBin Jiang
Bin Jiang
PSPeng Shi
Peng Shi
MQMoshu Qian
Moshu Qian
JLJinxing Lin
Jinxing Lin

1 February 2018 in IET Control Theory & Applications
Verified
Journal Article
Open access
PDF file
ZGZhifeng Gao
Zhifeng Gao
ZZZepeng Zhou
Zepeng Zhou
MQMoshu Qian
Moshu Qian
JLJinxing Lin
Jinxing Lin
This study investigates the active fault tolerant control (FTC) problem for the attitude system of a rigid satellite, which is affected by parameter uncertainty, unknown exogenous disturbance and actuator time‐varying faults. The upper bounds of the actuator time‐varying fault and the generalised perturbation are unknown. A novel adaptive non‐linear fault estimation observer is designed in order to obtain the estimated value of unknown time‐varying faults. Then, an active fault tolerant attitude control approach is proposed under the framework of both backstepping control and adaptive control theory. Consequently, the Lyapunov theory is used to prove the robust asymptotic stability for the closed‐loop attitude system of a faulty satellite under the proposed FTC scheme. Finally, simulation results on an in‐orbit rigid satellite are provided to show the good fault tolerant performance, which validate the effectiveness and feasibility of the proposed scheme.

7 March 2024 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
MQMoshu Qian
Moshu Qian
CSChenglin Sun
Chenglin Sun
Bin JiangBin Jiang
Bin Jiang
RWRonghao Wang
Ronghao Wang
JSJiantao Shi
Jiantao Shi
This article studies the adaptive fault tolerant control (AFTC) and collision avoidance problem for wheel mobile robots (WMRs) under event-triggered mechanism and communication constraints. The dynamics of WMRs and their transformation are considered first. To handle the constraint that only part of the robots can access the leader, the distributed state estimators are designed. Simultaneously the actuator faults and external disturbances are approximated by cerebellar model neural network. Then, an event-triggered-based AFTC and collision avoidance scheme is developed by utilizing a backstepping control technique and artificial potential field. The stability of the closed-loop system is proved and Zeno behaviors are excluded. Finally, the simulation evaluation and experimentation of three robots is implemented to illustrate the superiority of the presented scheme.

1 June 2016 in International Journal of Control, Automation, and Systems
Verified
Journal Article
Closed access
PDF file
MQMoshu Qian
Moshu Qian
Bin JiangBin Jiang
Bin Jiang
HLHugh Hong-Tao Liu
Hugh Hong-Tao Liu

15 March 2012 in Circuits, Systems, and Signal Processing
Verified
Journal Article
Closed access
PDF file
MQMoshu Qian
Moshu Qian
Bin JiangBin Jiang
Bin Jiang
DXDezhi Xu
Dezhi Xu

11 July 2018 in International Journal of Control, Automation, and Systems
Verified
Journal Article
Closed access
PDF file
ZGZhifeng Gao
Zhifeng Gao
ZZZepeng Zhou
Zepeng Zhou
GJGuoping Jiang
Guoping Jiang
MQMoshu Qian
Moshu Qian
JLJinxing Lin
Jinxing Lin