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，工业流程正在成为生成、处理、存储和通信大量数据的分布式网络物理系统。该项目旨在使用行为系统框架，直接基于大过程数据为复杂过程开发一种新颖的分布式控制方法。将开发一个新的无模型框架来表示和分析过程/控制器网络和交互效果，并确定分布式控制下所需控制性能的可行性。通过扩展行为系统的耗散性、收缩性和微分耗散性条件，将开发基于大数据的新型分布式控制设计方法。