Shikai Shao

According to our database, Shikai Shao authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Adaptive practical prescribed-time attitude tracking control for quadrotor UAV.

Shikai Shao, Zifei Wang, Bailing Tian, Yuanjie Zhao, Xiaojing Wu, Hexu Sun

J. Frankl. Inst., 2025

2023

Constrained trajectory planning for unmanned aerial vehicles using asymptotic optimization approach.

Shikai Shao, Yuanjie Zhao

Trans. Inst. Meas. Control, September, 2023

Fixed-time robust trajectory tracking control for quadrotor UAV with disturbances.

Shikai Shao, Shu Wang, Yuanjie Zhao, Gongfa Huang

Trans. Inst. Meas. Control, April, 2023

A New Method for Multi-UAV Cooperative Mission Planning Under Fault.

Shikai Shao, Houzhen Li, Yuanjie Zhao, Xiaojing Wu

IEEE Access, 2023

2022

Robust fixed-time formation control for quadrotor unmanned aerial vehicles with directed topology.

Shikai Shao, Yuanjie Zhao, Xiaojing Wu

Trans. Inst. Meas. Control, 2022

Appointed-Time Prescribed Performance Fault Tolerant Control for QUAV With Actuator Fault and Model Parameters Uncertainties.

Xiaojing Wu, Xinrui Han, Ran Zhen, Shikai Shao

IEEE Access, 2022

2021

Adaptive dynamic surface and sliding mode tracking control for uncertain QUAV with time-varying load and appointed-time prescribed performance.

Xiaojing Wu, Wenyan Zheng, Xinxiu Zhou, Shikai Shao

J. Frankl. Inst., 2021

A New Method of Solving UAV Trajectory Planning Under Obstacles and Multi-Constraint.

Shikai Shao, Weilong Shi, Yuanjie Zhao, Yun Du

IEEE Access, 2021

Efficient Trajectory Planning for UAVs Using Hierarchical Optimization.

Shikai Shao, Chenglong He, Yuanjie Zhao, Xiaojing Wu

IEEE Access, 2021

2018

Finite-time output feedback attitude synchronization for multiple spacecraft.

Qun Zong, Shikai Shao, Bailing Tian, Xiuyun Zhang, Wenjing Liu

Trans. Inst. Meas. Control, 2018

2017

Finite-time sliding mode attitude control for rigid spacecraft without angular velocity measurement.

Shikai Shao, Qun Zong, Bailing Tian, Fang Wang

J. Frankl. Inst., 2017