A5101684050- Underwater Vehicles and Communication Systems
- Adaptive Control of Nonlinear Systems
- Robotic Path Planning Algorithms
- Maritime Navigation and Safety
- Statistical Mechanics and Entropy
- Neural Networks and Applications
- Guidance and Control Systems
- Advanced Thermodynamics and Statistical Mechanics
- Fault Detection and Control Systems
- Control Systems and Identification
- Water Quality Monitoring Technologies
- Image and Signal Denoising Methods
- Iterative Learning Control Systems
- Advanced Sensor and Control Systems
- Numerical methods in inverse problems
- Conducting polymers and applications
- Advanced Sensor and Energy Harvesting Materials
- Neuroscience and Neural Engineering
- Model Reduction and Neural Networks
- Statistical and numerical algorithms
- Aerospace Engineering and Control Systems
- Scientific Research and Discoveries
- Military Defense Systems Analysis
- Neuropeptides and Animal Physiology
- Advanced Image Processing Techniques
Donghua University
2019-2025
Shanghai Jiao Tong University
2015-2023
Shanghai University
2023
Northwestern Polytechnical University
2023
Shanghai Ocean University
2016-2018
State Key Laboratory of Ocean Engineering
2016
Ocean University of China
2012
Lanzhou University
2001
York University
1997
Springer Nature (Germany)
1997
Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents deep learning network called YOLO-JD detecting diseases from images. In main architecture YOLO-JD, we integrated three new modules such Sand Clock Feature Extraction Module (SCFEM), Deep (DSCFEM), and Spatial Pyramid Pooling (SPPM) to extract image features effectively. We also built large-scale dataset pests with ten classes. Compared other...
Model Predictive Control (MPC) is commonly employed for trajectory tracking in control systems. However, Unmanned Surface Vehicle (USV) systems frequently encounter disturbances and model inaccuracies, resulting mismatches between predicted actual behaviors. This paper proposes a Gaussian Process (GP-MPC) framework to address the challenges of USVs. The MPC comprises nominal based on kinematic analysis process error model. latter compensates system inaccuracies using sampled data....
In this paper, we present a soft and moisturizing film electrode based on bacterial cellulose Ag/AgCl conductive cloth as potential replacement for gel patches in electroencephalogram (EEG) recording. The materials are entirely flexible, the membrane facilitates convenient adherence to skin. EEG signals transmitted from skin first then transferred connected amplifier. water moisturizes continuously, reducing contact impedance less than 10 kΩ, which is lower commercial patches. equivalent...
The motion of an underwater vehicle is prone to be affected by time-varying model parameters and the actuator limitation in control practice. Adaptive effective method deal with general system dynamic uncertainties disturbances. However, effect disturbances on transient dynamics not prominent. In this paper, we redesign L 1 adaptive architecture (L1AC) anti-windup (AW) compensator guarantee robust fast adaption input saturation coupling To reduce fluctuation states, Riccati-based AW utilized...
In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method integrated into the partial differential equation (PDE) approach, which can improve collision-avoidance performance formation. During process straight-line formation, USV agent expected to track desired commands accurately. Considering possibility failure, learning model predictive (ILMPC)...
In view of the vulnerability ocean unmanned sailboats to large lateral velocities due wind and waves during navigation, this paper proposes a Gaussian Process Model Predictive Control (GPMPC) method based on data-driven learning technique improve navigation tracking accuracy sailboats. The feature model sailing course change subject is learned from efficient sampling data. It then combined with predictive control form controller. To reduce influence disturbances, an adaptive weight term...
This study presents a new adaptive trajectory tracking control scheme for fully actuated Unmanned Surface Vehicle (USV) to track common moving target region. In this concept, the desired objective is specified as region instead of point, and so which called non-strict tracking. Within scheme, regression matrix used handle parameter uncertainties, region-based A switching gain term based on exponential function proposed make USV’s converge into rather than boundary region, reduce system...
摘要:
The challenge of high-performance maneuvers for a deep-ocean underwater vehicle is to design proper controllers and ensure the high accuracy state measurements. Current control solutions are considered be unique controller designed reject disturbance noise. However, based on precise hydrodynamic model. It requires multiple experiments complex theoretical analysis. In this article, hybrid strategy presented work-class remote operated vehicle. tries compose several...
The Lagrange undetermined multiplier method and the cepstrum analysis are used to determine an explicit solution a data extension model in maximum entropy of power spectrum analysis. 1-dimensional case for real, causal, stable, all-pole signal is treated. Only definition as <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H_{2} = -\int S(f) \log df</tex> treated although same treatment has been applied...
The focus of this paper is to develop a methodology that enables an unmanned surface vehicle (USV) efficiently track planned path. introduction vector field-based adaptive line-of-sight guidance law (VFALOS) for accurate trajectory tracking and minimizing the overshoot response time during USV curved paths improves overall (LOS) method. These improvements contribute faster convergence desired path, reduce oscillations, can mitigate effects persistent external disturbances. It shown proposed...