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The International Conference on Power System Technology (ICPST), Beijing, China during October 17-21, 1994

The International Conference on Power System Technology (ICPST), Beijing, China during October 17-21, 1994
国际电力系统技术会议 (ICPST),中国北京,1994 年 10 月 17-21 日
批准号:
9424319
负责人:
Kwang Lee
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-10-15 至 1995-09-30

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中文摘要
翻译
9424319 Lee本提案的目的是为美国与会者申请一笔旅行资助,以参加将于1994年10月17日至21日在中国北京举行的国际电力系统技术会议(ICPST)。 中国是一个拥有世界四分之一人口的国家。 在国家经济中,能源部门的研发技术投资有着巨大的机会。 在这次会议上,预计将有来自日本和欧洲国家的大量代表参加。 美国团队将从互动和信息交流中受益,了解中国电力工业的基本方法和发展需求的基本问题,这将有助于保持美国研究人员和工业在全球经济中的竞争力。 要求为来自美国大学的约24名与会者补充参加会议的旅费。 ***
英文摘要
9424319 Lee The purpose of this proposal is to request a block travel support for participants from U.S. to attend the International Conference on Power System Technology (ICPST), to be held in Beijing, China, during October 17-21, 1994. China is a country with a one-fourth of the world population. There is a tremendous opportunity for investment of R&D technologies in the energy sector in the nation's economy. In this conference, heavy representation from Japan and European countries is expected. The U.S. team would benefit from the interaction and information exchange in understanding the fundamental issues in basic methodologies and development need for the Chinese power industry, which will help to maintain competitiveness of U.S. researchers and industry in the global economy. A request is made to supplement the travel cost for about twenty four participants from U.S. universities in attending the conference. ***
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会议论文
Multi-Agent System Based Intelligent Distributed Control System for Power Plants
  • 批准号:
    0801440
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $33.0万
  • 财政年份:
    2008
  • 负责人:
    Kwang Lee
  • 依托单位:
Development of System-Type Neural Network Architectures for Distributed Parameter Systems Using Algebraic Decomposition
  • 批准号:
    0758385
  • 项目类别:
    Continuing grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Kwang Lee
  • 依托单位:
Development of System-Type Neural Network Architectures for Distributed Parameter Systems Using Algebraic Decomposition
Free-Model Based Intelligent Control of Power Plants and Power Systems
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