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: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595481
• 关键词: Autonomous; Estimation; Control; Stochastic; Nonlinear

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.

对加拿大化学和生物工业日益增长的能源、环境和质量要求使它们面临着很高的经济压力。因此，提高这些行业的全面效率对它们的经济福祉至关重要。虽然各种因素决定了它们的效率，但在本项目中，我们将重点开发通过自适应信息处理机制提高效率的新方法。具体而言，该项目的目标是：(1)开发一种非线性过程在线自适应建模机制，(2)开发一种自适应实验设计策略，(3)使用自适应建模机制生成可操作信息。