项目名称: 基于主动预测的通信与计算受限系统的调度和控制研究
项目编号: No.61304048
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 自动化技术、计算机技术
项目作者: 赵云波
作者单位: 浙江工业大学
项目金额: 26万元
中文摘要: 本项目研究通信和计算受限系统的资源调度和反馈控制问题。这一受限系统理论模型的实际背景是网络控制系统、信息物理融合系统和物联网等新型的控制系统形态。在这些新型的控制系统形态中,通信和计算资源的限制对传统控制理论提出了全新的挑战。拟采用一种基于主动预测的资源调度和反馈控制策略,从统一整合的角度进行此类系统的设计和分析。其基本思想是利用通信网络和嵌入式计算技术自身的特性来对它们引入的限制进行前馈式的主动补偿。将采用实时系统调度理论、模型预测控制和最优控制理论等方法,从统一整合通信、计算和控制的角度,建立一套适应于通信和计算受限系统的主动预测式的资源调度和反馈控制理论框架。这一研究将为网络控制系统、物联网和信息物理融合系统等在国民经济中的应用提供坚实的理论基础,对提高我国的工业化和信息化水平有着直接的和现实的意义。
中文关键词: 网络化控制系统;资源受限;联合设计;稳定性分析;汽车尾气监测
英文摘要: The resource scheduling and feedback control problems are investigated in this project for systems under both communication and computation constraints. The considered theoretical model is derived from such systems as networked control systems, cyber-physical systems and Internet of things, which are new forms of control systems in the new era of the information technology. In such systems, the introduced communication and computation constraints pose great challenges for conventional control theory. In this project, the systems design and analysis will follow an integrative perspective, by means of an active prediction based resource scheduling and feedback control strategy. The fundamental idea of this strategy is to take advantage of the characteristics of the communication networks and the embedded computation technology to actively compensate for their incurred constraints to the control system in a feedforward fashion. Methodologies such as real-time scheduling theory, model predictive control and optimal control, etc. will be adopted in order to build a whole control framework for the active prediction based resource scheduling and feedback control scheme of systems under communication and computation constraints. This study will build a solid theoretical foundation for the implementation of networked con
英文关键词: Networked control systems;Resources constrained;Codesign;Stability analysis;Tail gas detection