Xiangxiang Zou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xiangxiang Zou has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Hui-Jie Sun
School of Traffic and Transportation Engineering, Central South University, Changsha, China
4 shared publications - Deshan Meng
Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
3 shared publications - Yu Liu
Harbin Institute of Technology
3 shared publications Deshan Meng
2 shared publications- Ruinan Chen
Zhejiang University, Hangzhou, China
2 shared publications - Wanquan Liu
School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
2 shared publications
Latest Publications
- 5 February 2026
- Published by Elsevier in Acta Astronautica
- Vol. 244, 299-310
Tunable predefined-time trajectory tracking control for cable-driven space manipulators using extended state observer via fully-actuated system approaches
- 5 February 2026
- Published by Elsevier in Acta Astronautica
- Vol. 244, 299-310
Tunable predefined-time trajectory tracking control for cable-driven space manipulators using extended state observer via fully-actuated system approaches
- 5 February 2026
- Published by Elsevier in Control Engineering Practice
- Vol. 170
A novel model predictive control law for over-actuated space cable-driven manipulators
- 5 February 2026
- Published by Elsevier in Control Engineering Practice
- Vol. 170
A novel model predictive control law for over-actuated space cable-driven manipulators
- 20 November 2025
- Published by Elsevier in Aerospace Science and Technology
- Vol. 168
Predefined-time trajectory tracking control of a rigid-flexible cable-driven space manipulator using neural network
- 20 November 2025
- Published by Elsevier in Aerospace Science and Technology
- Vol. 168
Predefined-time trajectory tracking control of a rigid-flexible cable-driven space manipulator using neural network
- 7 February 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE/ASME Transactions on Mechatronics
- Vol. 31 (1) , 4-14
Practical Prescribed-Time Trajectory Tracking Control for a Novel Tendon-Driven Space Manipulator via Fully Actuated System Approaches
This article investigates the prescribed-time control for a novel tendon-driven space manipulator with uncertainties and deformations in the extensive operations. Considering the elastic potential energy loss moment of the rope and the coupling of the joint motion under the coordinated drive of multiple motors, the dynamics model of the space manipulator is established by the Lagrangian method. The dynamical model is transformed into a class of second-order fully actuated nonlinear systems using an equivalent transformation. Then, a practical prescribed-time controller is designed using the high-order fully actuated system approach. The designed control method is characterized by two features: first, high tracking accuracy is achieved by transforming the nonlinear system control problem into a linear system control problem through fully actuated system approaches; second, fast trajectory tracking is obtained by using the prescribed-time control technique. Finally, numerical simulations and physical experiments are performed to demonstrate the effectiveness and superiority of the proposed control method.
- 7 February 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE/ASME Transactions on Mechatronics
- Vol. 31 (1) , 4-14
Practical Prescribed-Time Trajectory Tracking Control for a Novel Tendon-Driven Space Manipulator via Fully Actuated System Approaches
This article investigates the prescribed-time control for a novel tendon-driven space manipulator with uncertainties and deformations in the extensive operations. Considering the elastic potential energy loss moment of the rope and the coupling of the joint motion under the coordinated drive of multiple motors, the dynamics model of the space manipulator is established by the Lagrangian method. The dynamical model is transformed into a class of second-order fully actuated nonlinear systems using an equivalent transformation. Then, a practical prescribed-time controller is designed using the high-order fully actuated system approach. The designed control method is characterized by two features: first, high tracking accuracy is achieved by transforming the nonlinear system control problem into a linear system control problem through fully actuated system approaches; second, fast trajectory tracking is obtained by using the prescribed-time control technique. Finally, numerical simulations and physical experiments are performed to demonstrate the effectiveness and superiority of the proposed control method.