朱善良

Predefined-Time Adaptive Consensus Control for Nonlinear Multi-Agent Systems with Input Quantization and Actuator Faults

Predefined-time control has experienced substantial advancements in recent years. Nevertheless, the current technology has not achieved widespread adoption in nonlinear multi-agent …

Adaptive Prescribed Performance Tracking Control for Uncertain Nonlinear Systems with Unknown Backlash-like Hysteresis

In this paper, an adaptive prescribed performance tracking control(PPTC) problem of uncertain nonlinear systems with unknown hysteresis input is investigated. For the purpose of …

Adaptive Multi-Dimensional Taylor Network Tracking Control of Time-Varying Delay Nonlinear Systems Subject to Input Saturation

For the tracking control problem of a class of nonlinear systems with input saturation constraint and time-varying delay, an adaptive tracking control scheme based on …

Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model

Estimating ocean subsurface thermohaline information from satellite data is vital for understanding ocean dynamics and El Niño. This paper presents a double-output Residual Neural …

Xianmei Zhou

• 2024年7月16日 • 1 分钟阅读时长

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The Development of a Weather-Type Statistical Downscaling Model for Wave Climate Based on Wave Clustering

Reliable long-term wave data are significant for understanding changes and variability of ocean waves, which has important implications for coastal engineering, land erosion, and …

Wentao Jia

• 2024年7月1日 • 1 分钟阅读时长

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Adaptive Tracking Control for a Class of Nonlinear Systems with Intermittent Actuator Faults under Prescribe Output Tracking Performance

This paper investigates the adaptive tracking control problem of a class of nonlinear systems with intermittent actuator faults and prescribed performance. In the backstepping …

Adaptive Decentralized Tracking Control of a Class of Large-Scale Nonlinear Systems with Unknown Dead-Zone Inputs Using Neural Network

A Dual-Attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal

Variations in ocean mixed layer depth(MLD) show a significant impact on energy balance in the global climate systems and marine ecosystems. At present, the accuracy of modeling …

Wentao Jia

• 2024年7月1日 • 1 分钟阅读时长

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基于自注意力机制的深度学习的海洋三维温度场预测

目前主要从时空角度出发对海洋三维温度场进行预测，却忽略了相邻位置的海温相关关系。为弥补这一不足，构建一种融合了自注意力记忆模块与卷积式长短时记忆神经网络（ConvLSTM）模型的SA-ConvLSTM三维温度场预测模型，不仅可以从历史三维温度场中提取海温时空特征，还能获取并记忆相邻点位置信息，从而实现对三维温度场时空变化的把握。实验结果表明：相较于 …

A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints

In this paper, the control issue of adaptive fault-tolerant is studied for a class of stochastic nonlinear systems with multiple faults and full state constraints, with multiple …