课题基金 / 基金详情

Switching Dynamics Approach for Distributed Global Optimisation

Switching Dynamics Approach for Distributed Global Optimisation
分布式全局优化的切换动态方法
批准号:
DP200101197
负责人:
Prof Xinghuo Yu
金额:
$29.49万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2020
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2020-05-01 至 2024-12-31

项目摘要

项目成果

Prof Xinghuo Yu的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Variable Structure Complex Network Systems with Smart Grid Applications
  • 批准号:
    DP240100830
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $35.05万
  • 财政年份:
    2024
  • 负责人:
    Prof Xinghuo Yu
  • 依托单位:
Accelerated Finite-time Learning and Control in Cyber-Physical Systems
  • 批准号:
    DP230101107
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $33.19万
  • 财政年份:
    2023
  • 负责人:
    Prof Xinghuo Yu
  • 依托单位:
Dynamics and Resilience of Complex Network Systems with Switching Topology
  • 批准号:
    DP200101199
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $35.12万
  • 财政年份:
    2020
  • 负责人:
    Prof Xinghuo Yu
  • 依托单位:
Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems
  • 批准号:
    DP140100544
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $23.15万
  • 财政年份:
    2014
  • 负责人:
    Prof Xinghuo Yu
  • 依托单位:
国内基金
海外基金
β-arrestin2- MFN2-Mitochondrial Dynamics轴调控星形胶质细胞功能对抑郁症进程的影响及机制研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2023
  • 负责人:
  • 依托单位: