Big Data-based Distributed Control using a Behavioural Systems Framework

使用行为系统框架的基于大数据的分布式控制

• 批准号: DP240100300
• 负责人: Prof Jie Bao
• 金额: $ 29.85万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100300
• 关键词: Big; Data; based; Distributed; Control

With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.

随着工业4.0成为现实，工业流程正在成为分布式网络物理系统，这些系统生成、处理、存储和传输大量数据。利用行为系统框架，该项目旨在直接基于大过程数据为复杂过程开发一种新的分布式控制方法。一个新的无模型的框架将被开发来表示和分析的过程/控制器网络和相互作用的影响，并确定分布式控制下所需的控制性能的可行性。通过扩展行为系统的耗散性、收缩性和微分耗散性条件，将开发新的基于大数据的分布式控制设计方法。