课题基金 / 基金详情

Autonomous Estimation and Control for Stochastic Nonlinear Chemical and Biological Processes

Autonomous Estimation and Control for Stochastic Nonlinear Chemical and Biological Processes
随机非线性化学和生物过程的自主估计和控制
批准号:
341778-2012
负责人:
Gopaluni, Bhushan
金额:
$2.11万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
翻译
对加拿大化学和生物工业不断增长的能源、环境和质量要求使它们承受着很大的经济压力。 因此,提高这些行业的全面效率对其经济福祉至关重要。虽然各种因素决定了它们的效率,但在本项目中,我们将专注于开发新的方法,通过自适应信息处理机制来提高效率。特别是,这个项目的目标是(1)开发一种机制,用于在线自适应建模的非线性过程,(2)开发一种策略,用于自适应实验设计和(3)使用自适应建模机制生成可操作的信息。
英文摘要
The ever increasing energy, environment and quality demands on Canadian chemical and biological industries are subjecting them to a high level of economic pressure. Hence, increasing the all-round efficiency of these industries is vital for their economic well-being. While a variety of factors determine their efficiency, in this project we will focus on development of novel methods to improve efficiency through a mechanism of adaptive information processing. In particular, the objectives of this project are (1) to develop a mechanism for online adaptive modeling of nonlinear processes, (2) to develop a strategy for adaptive experiment design and (3) to use the adaptive modeling mechanism for generating actionable information.
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Scalable Analytics for Extracting Control Insights from Historical Process Data: with Applications in the Pulp and Paper Industry
  • 批准号:
    531114-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $1.17万
  • 财政年份:
    2021
  • 负责人:
    Gopaluni, Bhushan
  • 依托单位:
Towards Self Driving Processes: Leveraging the Data Revolution
  • 批准号:
    RGPIN-2017-05794
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.81万
  • 财政年份:
    2021
  • 负责人:
    Gopaluni, Bhushan
  • 依托单位:
Towards Self Driving Processes: Leveraging the Data Revolution
  • 批准号:
    RGPIN-2017-05794
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Gopaluni, Bhushan
  • 依托单位:
Scalable Analytics for Extracting Control Insights from Historical Process Data: with Applications in the Pulp and Paper Industry
  • 批准号:
    531114-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $2.91万
  • 财政年份:
    2020
  • 负责人:
    Gopaluni, Bhushan
  • 依托单位:
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