A5002568038- Adaptive Control of Nonlinear Systems
- Distributed Control Multi-Agent Systems
- Inertial Sensor and Navigation
- Space Satellite Systems and Control
- Spacecraft Dynamics and Control
- Target Tracking and Data Fusion in Sensor Networks
- Astro and Planetary Science
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Guidance and Control Systems
- Iterative Learning Control Systems
- Neural Networks Stability and Synchronization
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Aerospace Engineering and Control Systems
- Geophysics and Gravity Measurements
- GNSS positioning and interference
- Adaptive Dynamic Programming Control
- Control and Dynamics of Mobile Robots
- Nonlinear Dynamics and Pattern Formation
- Mobile Agent-Based Network Management
- UAV Applications and Optimization
- Advanced Memory and Neural Computing
- Robotic Mechanisms and Dynamics
Jiangnan University
2022-2025
Shanghai Jiao Tong University
2017-2025
Shanghai University
2023-2024
Shandong Institute of Automation
2024
Harbin Institute of Technology
2020-2023
Beijing Jiaotong University
2023
International Peace Maternity & Child Health Hospital
2023
Shenzhen Institute of Information Technology
2020-2022
Ningbo University
2021
Tongji University
2020
Path planning and formation control are both challenging critical issues in robotics, which involve computing an optimal path from the initial position to target while keeping desired formation. This brief studies problem for multiple unmanned aerial vehicles (multi-UAVs) 3-D constrained space. Considering local minimum of artificial potential function (APF), effective improved (IAPF) based approach is proposed multi-UAV systems. By introducing a rotating field, UAVs can escape common...
Abstract This article addresses the high‐accuracy intelligent trajectory tracking control problem of a quadrotor unmanned aerial vehicle (UAV) subject to external disturbances. The error systems are first reestablished by utilizing feedforward technique compensate for raw dynamics UAV. Then, two novel appointed‐fixed‐time observers designed processed reconstruct disturbance forces and torques, respectively. And observation errors can converge origin within appointed time defined users or...
Abstract This paper presents the finite‐time attitude synchronization and tracking control method of undirected multi‐spacecraft formation with external disturbances. First, a modified adaptive nonsingular fast terminal sliding mode surface (ANFTSMS) is designed by introducing user‐defined function, both which avoid singularity problem continuous surface, and, therefore, can freely adjust relative weighting between angular velocity error adaptively, such that controller provide sufficient...
This brief investigates the problem of trajectory tracking control for dynamic positioning vessels under unknown and time-varying sea loads. A novel event-based prescribed performance (PPC) scheme is proposed to address this problem. Firstly, an integral disturbance observer (IDO) introduced estimate loads, a new-type function (PF), which has advantages flexible shape appointed-time convergence, form funnel envelops errors. Subsequently, by employing IDO PF, event-triggered policy designed...
This article conducts in-depth research on the construction of UAV (Unmanned Aerial Vehicle) infrared inspection system for power transmission lines. With increasing complexity system, maintenance and lines have become key to ensuring stable operation system. Traditional manual methods problems such as low efficiency, high cost, safety hazards. study mainly explores application optimized flight path algorithm in line inspection. To verify effectiveness proposed method, this conducted...
Deep space exploration, generally referring to the exploration activities targeting Moon and more distant extraterrestrial celestial bodies, stands as a critical indicator of nation’s comprehensive capabilities technological prowess [...]
Autonomous drifting is an advanced technique that enhances vehicle maneuverability beyond conventional driving limits. This survey provides a comprehensive, systematic review of autonomous research published between 2005 and early 2025, analyzing approximately 80 peer-reviewed studies. We employed modified PRISMA approach to categorize evaluate across two main methodological frameworks: dynamical model-based approaches deep learning techniques. Our analysis reveals while methods offer...
This article investigates the attitude stabilization control problem with low-frequency communication to actuators in framework of sampled-data control. A novel event-triggered sampling policy is proposed by employing an integral-type triggering function where determination all times judging properties this including integration measurement errors. Using Lyapunov-based approach, we show that stability closed-loop system can be guaranteed presence external disturbance, inertia uncertainty,...