Shujian Sun

Dr. Shujian Sun


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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18 June 2025 in Materials Today
Verified
Journal Article
Closed access
ZSZhicheng Shi
Zhicheng Shi
ZLZihui Liang
Zihui Liang
ZHZhiyu Huang
Zhiyu Huang
AHAnnan He
Annan He
SQSijie Qiao
Sijie Qiao
WXWeilin Xu
Weilin Xu

8 December 2023 in IEEE Transactions on Aerospace and Electronic Systems
Verified
Journal Article
Closed access
JLJiakun Lei
Jiakun Lei
TMTao Meng
Tao Meng
KWKun Wang
Kun Wang
WWWeijia Wang
Weijia Wang
SSShujian Sun
Shujian Sun
This paper focuses on the spacecraft attitude control problem with intermittent actuator activation, considering the parameter uncertainty and external disturbance issue simultaneously. To address this problem, we propose a Composite Event-Trigger Mechanism (CETM), which consists of two state-dependent triggers governing the activation and deactivation of actuators. Subsequently, by introducing the cascaded decomposition of the Backstepping control philosophy, the designed CETM trigger mechanism is applied to the decomposed dynamical subsystem, providing a layered intermittent stabilization strategy called the Composite Event-Triggered Intermittent Control (CETIC). Moreover, the proposed CETIC framework is further extended to address exogenous perturbations by introducing the extended-state observer technique, and a Disturbance Observer-based Composite Event-Triggered Intermittent Controller (DO-CETIC) is then developed. Further, by analyzing the boundedness of the Lyapunov certificate on each inter-event time interval, a uniformly, strictly decreasing upper bound of the lumped system is then characterized, completing the proof of the system's ultimate boundedness. Finally, numerical simulation results are illustrated to demonstrate the effectiveness of the proposed control scheme.

6 March 2024 in IEEE Transactions on Aerospace and Electronic Systems
Verified
Journal Article
Closed access
JLJiakun Lei
Jiakun Lei
TMTao Meng
Tao Meng
KWKun Wang
Kun Wang
WWWeijia Wang
Weijia Wang
SSShujian Sun
Shujian Sun
LWLei Wang
Lei Wang
This paper investigates the boresight alignment control problem under safety and performance requirements involving pointing-forbidden constraints, attitude angular velocity limitations, and pointing accuracy requirements. Meanwhile, the parameter uncertainty issue is taken into account simultaneously. To address this problem, we propose a modified composite framework integrating the Artificial Potential Field (APF) methodology and the PrescribedPerformance Control (PPC) scheme. The APF scheme ensures safety, while the PPC scheme is employed to realize an accuracyguaranteed control. A Switched Prescribed-Performance Function (SPPF) is proposed to facilitate the integration, which monitors various constraints and further establishes compatibility between safety and performance concerns by presenting a special PPC freezing mechanism. To further address the parameter uncertainty, we introduce the Immersion-and-Invariance (I&I) adaptive control technique to derive an adaptive APF-PPC composite controller, guaranteeing the closed-loop system's asymptotic convergence. Finally, numerical simulations are carried out to validate the effectiveness of the proposed scheme.

7 August 2019 in Frontiers of Information Technology & Electronic Engineering
Verified
Journal Article
Closed access
SSShujian Sun
Shujian Sun
TMTao Meng
Tao Meng
ZJZhong-He Jin
Zhong-He Jin

18 September 2023 in arXiv
Verified
Preprint
Open access
PDF file
JLJiakun Lei
Jiakun Lei
TMTao Meng
Tao Meng
KWKun Wang
Kun Wang
WWWeijia Wang
Weijia Wang
SSShujian Sun
Shujian Sun
LWLei Wang
Lei Wang
This paper investigates the boresight alignment control problem under safety constraints and performance requirements, involving pointing-forbidden constraint, attitude angular velocity limitation, and pointing accuracy requirement. Meanwhile, the parameter uncertainty issue is taken into account simultaneously. To address this problem, we propose a modified composite framework integrating the Artificial Potential Field (APF) methodology and the Prescribed Performance Control (PPC) scheme. The APF scheme ensures safety, while the PPC scheme is employed to realize an accuracy-guaranteed control. A Switched Prescribed Performance Function (SPPF) is proposed to facilitate the integration, which monitors various constraints and further establishes compatibility between safety and performance concerns by leveraging a special PPC freezing mechanism. To further address the parameter uncertainty, we introduce the Immersion-and-Invariance (I\&I) adaptive control technique to derive an adaptive APF-PPC composite controller, further guaranteeing the closed-loop system's asymptotic convergence. Finally, numerical simulations are carried out to validate the effectiveness of the proposed scheme.

21 July 2020
Verified
Book Chapter
Closed access
PDF file
ZJZhang Jinhe
Zhang Jinhe
SSShujian Sun
Shujian Sun
HTHong Tao
Hong Tao
DBDu Bin
Du Bin