Reliable and efficient algorithms for modelling dynamical systems from data

用于根据数据对动力系统进行建模的可靠且高效的算法

• 批准号: DP130100551
• 负责人: Prof Ian Manchester
• 金额: $ 23.94万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-03-07 至 2016-03-05
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP130100551
• 关键词: Reliable; efficient; algorithms; modelling; dynamical

Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.

数学和计算模型在科学和工程的各个领域越来越重要，包括飞机和汽车设计、机器人、医学传感和生物学。然而，找到一个准确的模型仍然是一项艰巨的任务。该项目将开发新的方法，从记录的数据中可靠地找到高精度的模型。