Jun Liu

Dr. Jun Liu

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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24 September 2025 in ISA Transactions
Verified
Journal Article
Closed access
ZGZhanpeng Gao
Zhanpeng Gao
WYWenjun Yi
Wenjun Yi
Huang JianHuang Jian
Huang Jian
JLJun Liu
Jun Liu

31 January 2026 in Measurement
Verified
Journal Article
Closed access
ZGZhanpeng Gao
Zhanpeng Gao
JLJun Liu
Jun Liu
WYWenjun Yi
Wenjun Yi
SYShusen Yuan
Shusen Yuan
JGJun Guan
Jun Guan

4 October 2026 in Mathematics
Verified
Journal Article
Open access
PDF file
JLJun Liu
Jun Liu
ZGZhanpeng Gao
Zhanpeng Gao
WQWeichen Qian
Weichen Qian
SYShusen Yuan
Shusen Yuan
DZDingye Zhang
Dingye Zhang
WYWenjun Yi
Wenjun Yi
To address the constrained nonlinear guidance problem of simultaneously satisfying impact-angle, seeker field-of-view, and prescribed-initial-acceleration constraints during three-dimensional pre-terminal-to-terminal handover, a nonlinear line-of-sight-angle shaping guidance method is proposed. The LOS-angle profiles are parameterized by normalized relative range, with the pre-terminal acceleration imposed as an initial boundary condition of the terminal-guidance reference. Three-dimensional velocity geometry and lead-angle dynamics reveal a sequential solution for the initial LOS curvatures, yielding an explicit mapping from prescribed acceleration to curvature. Endpoint-vanishing shape functions regulate the intermediate field-of-view profile without changing the boundary conditions or acceleration-inheritance relationship. A dynamic-inversion law tracks the reconstructed reference lead angles. Theoretical analysis establishes exact acceleration inheritance, exponential tracking-error convergence, terminal impact-angle satisfaction, and field-of-view constraint satisfaction under a sufficient reference margin. Numerical simulations show that the proposed method nearly eliminates the acceleration mismatch at the switching instant compared with conventional polynomial shaping guidance. Closed-loop and Monte Carlo validations further demonstrate that this improvement remains pronounced in the presence of actuator dynamics and randomized handover conditions, while terminal accuracy and seeker visibility are consistently maintained.