介绍了网络化控制系统(networked control system,NCS)出现的背景,综述了NCS面临的基本问题和现状,整理了近年来NCS分析与综合方面的研究成果和最新进展.描述了NCS的模型、特点、时延、丢包、稳定性、网络调度等内容,归纳了现有的研究方...介绍了网络化控制系统(networked control system,NCS)出现的背景,综述了NCS面临的基本问题和现状,整理了近年来NCS分析与综合方面的研究成果和最新进展.描述了NCS的模型、特点、时延、丢包、稳定性、网络调度等内容,归纳了现有的研究方法.对TrueTime和NS2等仿真工具做了比较详细的阐述.最后,论述了NCS研究中尚待解决的问题,展望了网络控制系统未来的发展前景.展开更多
The purpose of this research is to propose an early restoration for lifeline systems after earthquake disasters. The previous researches show that the optimization of the restoration schedule by using genetic algorith...The purpose of this research is to propose an early restoration for lifeline systems after earthquake disasters. The previous researches show that the optimization of the restoration schedule by using genetic algorithm (GA) is powerful. However, those are not considering the uncertain environment after earthquake disasters. The circumstances of the damage at devastated areas are very changeable due to the aftershock, fire disaster and bad weather. In addition, the restoring works may delay by unexpected accidents. Therefore, it is necessary to obtain the restoration schedule which has robustness, because the actual restoring works could not progress smoothly under the uncertain environment. GA considering uncertainty (GACU) can treat various uncertainties involved, but it is difficult to obtain the robust schedule. In this study, an attempt is made to develop a decision support system of the optimal restoration scheduling by using the improved GACU.展开更多
文摘介绍了网络化控制系统(networked control system,NCS)出现的背景,综述了NCS面临的基本问题和现状,整理了近年来NCS分析与综合方面的研究成果和最新进展.描述了NCS的模型、特点、时延、丢包、稳定性、网络调度等内容,归纳了现有的研究方法.对TrueTime和NS2等仿真工具做了比较详细的阐述.最后,论述了NCS研究中尚待解决的问题,展望了网络控制系统未来的发展前景.
文摘The purpose of this research is to propose an early restoration for lifeline systems after earthquake disasters. The previous researches show that the optimization of the restoration schedule by using genetic algorithm (GA) is powerful. However, those are not considering the uncertain environment after earthquake disasters. The circumstances of the damage at devastated areas are very changeable due to the aftershock, fire disaster and bad weather. In addition, the restoring works may delay by unexpected accidents. Therefore, it is necessary to obtain the restoration schedule which has robustness, because the actual restoring works could not progress smoothly under the uncertain environment. GA considering uncertainty (GACU) can treat various uncertainties involved, but it is difficult to obtain the robust schedule. In this study, an attempt is made to develop a decision support system of the optimal restoration scheduling by using the improved GACU.
