Article-Journal

Adaptive Multi‐dimensional Taylor Network Tracking Control for Nonlinear Systems with Input Saturation and~Full~State Time‐varying Constraints featured image

Adaptive Multi‐dimensional Taylor Network Tracking Control for Nonlinear Systems with Input Saturation and~Full~State Time‐varying Constraints

In this article, an adaptive multi-dimensional Taylor network (MTN) control approach is developed for nonlinear systems subject to input saturation and full state time-ying …

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韩玉群

Assessment and Correction of Radiometric Calibration for the Medium Resolution Spectral Imager on FY-3C

As a keystone instrument on the Fengyun-3C (FY-3C) satellite, the medium resolution spectral imager (MERSI) provides global coverage of top-of-atmosphere radiances for a broad …

Peng Gao
Modulation Recognition of Underwater Acoustic Signals Using Deep Hybrid Neural Networks featured image

Modulation Recognition of Underwater Acoustic Signals Using Deep Hybrid Neural Networks

It is a huge challenge for the receiver to correctly identify the modulation types due to the complex underwater channel environment and severe noise interference, while real-time …

Weilong Zhang
Arctic Ocean Amplification in a Warming Climate in CMIP6 Models featured image

Arctic Ocean Amplification in a Warming Climate in CMIP6 Models

Arctic near-surface air temperature warms much faster than the global average, a phenomenon known as Arctic Amplification. The change of the underlying Arctic Ocean could influence …

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舒启
Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method featured image

Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method

The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still …

Chen Gu
An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction  featured image

An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction

Reanalysis wind fields are obtained by correcting the numerically forecasted wind fields based on observation data (i.e., either remote sensing or in-situ observations, or both). …

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李永庆
 Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method.  featured image

Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method.

The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still …

Chen Guo
基于深度卷积神经网络的海洋多目标涡旋检测方法 featured image

基于深度卷积神经网络的海洋多目标涡旋检测方法

提出了一种基于深度卷积神经网络的海洋多目标涡旋检测方法。首先利用改进的密集卷积精确提取海洋涡旋特征,并使用跨层融合技术提高特征的利用率,来充分捕捉边缘信息;然后结合转置卷积和跳过连接构建上采样路径得到检测结果,以获得更高的检测准确率;最后在CMEMS(哥白尼海洋环境监测服务中心)发布的公开数据集上对本工作提出的方法进行了对比实验,实验结果表明:与 …

Qiming Liu
Effects of Sea Spray on Large-Scale Climatic Features over the Southern Ocean featured image

Effects of Sea Spray on Large-Scale Climatic Features over the Southern Ocean

The Southern Ocean, characterized by strong westerly winds and a rough sea state, exhibits the most pronounced sea spray effects. Sea spray ejected by ocean surface waves enhances …

Xiaodan Yang
Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method featured image

Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method

In this paper, the full state constraints and input delay of stochastic nonlinear systems are studied. A new adaptive control algorithm is proposed using backstepping approach and …

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李娜