SGER: Robust Intelligent Automation for Life Science Systems

SGER：生命科学系统的稳健智能自动化

• 批准号: 0844706
• 负责人: Tzyh-Jong Tarn
• 金额: --
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844706&HistoricalAwards=false
• 关键词: SGER; Robust; Intelligent; Automation; Life

This project studies a new integrated data-driven planning and control scheme for life science automation. Particular attention is paid for the objective of designing a highly robust and intelligent system to achieve the safety and reliability.The research here intends to (i) create a framework for facilitating analytical integration of planning and control, (ii) adopt a two degree-of-freedom controller for robust and intelligent life science automation, (iii) test and evaluate of the obtained results via simulation, (iv) evaluate the proposed glucose controller by a quantitative grading system measure, and (v) establish contact with Professor Alan Permutt at Washington University Medical School to prepare for experimental studies. The expected benefits are (i) an advanced nontrivial planning algorithm to improve safety and reliability of the design of life science system, (ii) an advanced control software for life science automation, and (iii) a science base for the development of automated life science systems. Additionally this research will significantly enhance our general understanding about nonlinear dynamics and control of a complex system and will have a specific impact on the bio-engineering fields in terms of their research and development.

本课题研究了一种新的数据驱动的生命科学自动化集成规划与控制方案。特别关注的目标是设计一个高度鲁棒性和智能化的系统，以实现安全可靠。这里的研究旨在(i)创建一个框架，以促进规划和控制的分析集成，（ii）采用两自由度控制器进行鲁棒和智能生命科学自动化，（iii）通过模拟测试和评估获得的结果，（iv）通过定量分级系统测量评估拟议的葡萄糖控制器，(v)与华盛顿大学医学院的Alan Permutt教授建立联系，为实验研究做准备。预期的好处是：(i)一种先进的非平凡规划算法，以提高生命科学系统设计的安全性和可靠性；（ii）一种先进的生命科学自动化控制软件；（iii）一种自动化生命科学系统开发的科学基础。此外，本研究将大大提高我们对复杂系统的非线性动力学和控制的一般理解，并将在生物工程领域的研究和发展方面产生具体影响。