Jinsheng Zhang

Dr. Jinsheng Zhang


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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9 October 2021 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
ZZZhongyu Zhang
Zhongyu Zhang
ZZZhenjie Zhu
Zhenjie Zhu
JZJinsheng Zhang
Jinsheng Zhang
JWJingkun Wang
Jingkun Wang

1 January 2016 in Journal of Cleaner Production
Verified
Journal Article
Closed access
SBShuo-Wei Bai
Shuo-Wei Bai
JZJinsheng Zhang
Jinsheng Zhang
Zhi WangZhi Wang
Zhi Wang

15 August 2023 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JKJinyou Kang
Jinyou Kang
JZJinsheng Zhang
Jinsheng Zhang
DSDepeng Sun
Depeng Sun
WSWeiye Song
Weiye Song

22 November 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JKJinyou Kang
Jinyou Kang
JZJinsheng Zhang
Jinsheng Zhang
ZDZuogang Duan
Zuogang Duan
HZHeng Zhang
Heng Zhang

1 September 2021 in Journal of Materials Processing Technology
Verified
Journal Article
Closed access
PDPeiyu Dong
Peiyu Dong
JZJinsheng Zhang
Jinsheng Zhang
COCongsen Ouyang
Congsen Ouyang
DSDepeng Sun
Depeng Sun
JWJunjie Wu
Junjie Wu

30 July 2012 in Journal of Navigation
Verified
Journal Article
Open access
PDF file
DYDongfang Yang
Dongfang Yang
SWShicheng Wang
Shicheng Wang
HLHongbo Li
Hongbo Li
ZLZhiguo Liu
Zhiguo Liu
JZJinsheng Zhang
Jinsheng Zhang
In shipborne Transfer Alignment (TA) applications, partial observability is one of the most important factors limiting convergence velocity. This paper proposes a new method of attributing weak observable states and lever-arm variables to a group of constraints in order to improve the observability of TA model. This yields the so-called Constrained Transfer Alignment (CTA) model which is uniformly observable even under zero-manoeuvre conditions. Within this framework, the Moving Horizon Estimation (MHE) and its stability analysis are also addressed. Finally, comparative simulation results are given to demonstrate the advantages of the proposed approach.