针对中压配电网缺少实时量测、伪量测精度较低以及现有的动态状态估计(dynamic state estimation,DSE)方法均采用恒定系统处理状态过程噪声的问题,提出了一种基于改进自适应无迹卡尔曼滤波(unscented kalman filter,UKF)算法的中压配电...针对中压配电网缺少实时量测、伪量测精度较低以及现有的动态状态估计(dynamic state estimation,DSE)方法均采用恒定系统处理状态过程噪声的问题,提出了一种基于改进自适应无迹卡尔曼滤波(unscented kalman filter,UKF)算法的中压配电网鲁棒DSE方法。首先,利用中压配电网变压器低压侧的智能电表量测和变压器模型,推导出等效中压量测以增强中压配网量测冗余度;然后,借鉴信号处理技术对系统状态过程噪声的协方差矩阵实时更新并融入UKF算法,以减轻状态预测和量测滤波的不确定性;最后,基于15节点中压配电网进行仿真。仿真结果表明:所提方法能够有效地进行中压配电网的动态状态估计,获取更为精确的态势感知信息。展开更多
The gut microbiota is a complex ecosystem composed of many bacteria and their metabolites.It plays an irreplaceable role in human digestion,nutrient absorption,energy supply,fat metabolism,immune regulation,and many o...The gut microbiota is a complex ecosystem composed of many bacteria and their metabolites.It plays an irreplaceable role in human digestion,nutrient absorption,energy supply,fat metabolism,immune regulation,and many other aspects.Exploring the structure and function of the gut microbiota,as well as their key genes and metabolites,will enable the early diagnosis and auxiliary diagnosis of diseases,new treatment methods,better effects of drug treatments,and better guidance in the use of antibiotics.The identification of gut microbiota plays an important role in clinical diagnosis and treatment,as well as in drug research and development.Therefore,it is necessary to conduct a comprehensive review of this rapidly evolving topic.Traditional identification methods cannot comprehensively capture the diversity of gut microbiota.Currently,with the rapid development of molecular biology,the classification and identification methods for gut microbiota have evolved from the initial phenotypic and chemical identification to identification at the molecular level.This review integrates the main methods of gut microbiota identification and evaluates their application.We pay special attention to the research progress on molecular biological methods and focus on the application of high-throughput sequencing technology in the identification of gut microbiota.This revolutionary method for intestinal flora identification heralds a new chapter in our understanding of the microbial world.展开更多
文摘针对中压配电网缺少实时量测、伪量测精度较低以及现有的动态状态估计(dynamic state estimation,DSE)方法均采用恒定系统处理状态过程噪声的问题,提出了一种基于改进自适应无迹卡尔曼滤波(unscented kalman filter,UKF)算法的中压配电网鲁棒DSE方法。首先,利用中压配电网变压器低压侧的智能电表量测和变压器模型,推导出等效中压量测以增强中压配网量测冗余度;然后,借鉴信号处理技术对系统状态过程噪声的协方差矩阵实时更新并融入UKF算法,以减轻状态预测和量测滤波的不确定性;最后,基于15节点中压配电网进行仿真。仿真结果表明:所提方法能够有效地进行中压配电网的动态状态估计,获取更为精确的态势感知信息。
文摘The gut microbiota is a complex ecosystem composed of many bacteria and their metabolites.It plays an irreplaceable role in human digestion,nutrient absorption,energy supply,fat metabolism,immune regulation,and many other aspects.Exploring the structure and function of the gut microbiota,as well as their key genes and metabolites,will enable the early diagnosis and auxiliary diagnosis of diseases,new treatment methods,better effects of drug treatments,and better guidance in the use of antibiotics.The identification of gut microbiota plays an important role in clinical diagnosis and treatment,as well as in drug research and development.Therefore,it is necessary to conduct a comprehensive review of this rapidly evolving topic.Traditional identification methods cannot comprehensively capture the diversity of gut microbiota.Currently,with the rapid development of molecular biology,the classification and identification methods for gut microbiota have evolved from the initial phenotypic and chemical identification to identification at the molecular level.This review integrates the main methods of gut microbiota identification and evaluates their application.We pay special attention to the research progress on molecular biological methods and focus on the application of high-throughput sequencing technology in the identification of gut microbiota.This revolutionary method for intestinal flora identification heralds a new chapter in our understanding of the microbial world.
