Qian Zhang

Qian Zhang


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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1 February 2024 in Mathematics
Verified
Journal Article
Open access
PDF file
QYQiao Yuan
Qiao Yuan
GCGuorong Chen
Guorong Chen
YTYuan Tian
Yuan Tian
YYYuan Yu
Yuan Yu
QZQian Zhang
Qian Zhang
JLJingcheng Liu
Jingcheng Liu
Impulsive control is an effective approach for coordinating multi-agent systems in practical environments due to its high robustness and low cost. However, impulsive control exhibits characteristics such as high amplitude and rapid variation, potentially presenting threats to the equipment. Additionally, multi-agent systems are constrained by input saturation due to limitations in physical controller structures and information-processing capabilities. These saturation constraints may be asymmetrical. Therefore, it is necessary to consider the saturation constraint when implementing impulsive control, as it can also mitigate the threats posed by the impulse to agents. This paper investigates the leader-following consensus for a class of discrete-time nonlinear multi-agent systems, proposing an asymmetric saturation impulsive control protocol to reduce the energy consumption and damage to the equipment. Regarding the handle of asymmetric saturation, an approach is proposed that eliminates the need for transformation from the asymmetric case to the symmetric case, which retains the saturation function and directly introduces the sector condition to deal with saturation nonlinearity. Furthermore, based on Lyapunov stability theory and matrix theory, sufficient conditions for leader-following consensus in discrete-time nonlinear multi-agent systems under asymmetric saturation impulsive control are established, and the admissible region of the system is estimated. Finally, numerical simulations are provided to verify the validity of the theoretical results.

22 September 2025 in Signal, Image and Video Processing
Verified
Journal Article
Closed access
PDF file
YLYijun Liu
Yijun Liu
ZQZhihua Qu
Zhihua Qu
JLJie Li
Jie Li
QZQian Zhang
Qian Zhang
BLBowen Liu
Bowen Liu
Wujun ChenWujun Chen
Wujun Chen