Shiwei Chen

Dr. Shiwei Chen


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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2 March 2023 in Aerospace Science and Technology
Verified
Journal Article
Closed access
SCShiwei Chen
Shiwei Chen
WWWei Wang
Wei Wang
JFJunfang Fan
Junfang Fan
YJYi Ji
Yi Ji

1 April 2024 in Defence Technology
Verified
Journal Article
Open access
WWWei Wang
Wei Wang
YWYuchen Wang
Yuchen Wang
SCShiwei Chen
Shiwei Chen
YGYongcang Guo
Yongcang Guo
Zhongjiao ShiZhongjiao Shi
Zhongjiao Shi

16 October 2024 in Journal of the Franklin Institute
Verified
Journal Article
Closed access
SCShiwei Chen
Shiwei Chen
WWWei Wang
Wei Wang
JFJunfang Fan
Junfang Fan

7 April 2025 in Aerospace Science and Technology
Verified
Journal Article
Closed access
WWWei Wang
Wei Wang
ZNZijian Ni
Zijian Ni
BCBailin Chen
Bailin Chen
SCShiwei Chen
Shiwei Chen

5 June 2023 in IEEE Transactions on Aerospace and Electronic Systems
Verified
Journal Article
Closed access
JFJunfang Fan
Junfang Fan
SCShiwei Chen
Shiwei Chen
WWWei Wang
Wei Wang
YJYi Ji
Yi Ji
NLNing Liu
Ning Liu
This paper proposes an approach for piecewise trajectory planning and fractional-order sliding-mode guidance of a two-stage launched miniature munition with the laser beam riding steered guidance technology. In the proposed approach, firstly, the polynomial description is used as an expected trajec- tory. Then consider the random external disturbances/parametric uncertainties and other factors deteriorate the tracking control performances of the miniature munition. To reduce the chatter- ing caused by modeling errors and external disturbances and achieve fast speed and high accuracy tracking performances for miniature munition, based on adaptive multi-power reaching strategy, an integrated guidance and control (IGC) method with the fractional-order sliding-mode guidance law (FOSMGL) is introduced. The designed fractional-order sliding surfaces ultimately and successively allow both the trajectory and the attitude angle converge to expected value in a finite time. In addition, considering the case of a moving target, a feedfor- ward compensation mechanism, which decreases the lag of the guidance system, is imposed using an additional compensated term obtained from the attitude angle error. The convergence and reachability of the proposed algorithm in finite-time are analyzed using the Lyapunov function method. The validity and practicability of the proposed method are verified by a numerical example.

13 January 2025 in International Journal of Robust and Nonlinear Control
Verified
Journal Article
Closed access
WWWei Wang
Wei Wang
SCShiwei Chen
Shiwei Chen
JFJunfang Fan
Junfang Fan
HZHongyan Zhang
Hongyan Zhang