Asynchronous dissipative filtering for Markov jump discrete-time systems subject to randomly occurring distributed delays     

Mingcheng Dai  Jianwei Xia  Ju H. Park  Xia Huang  Hao Shen 《Journal of The Franklin Institute》2019,356(4):2395-2420

This work investigates the issue of the dissipativity-based asynchronous filtering for Markov jump discrete-time systems subject to mixed time delays. Different from the existing results on this topic, a kind of distributed time delay is fully considered, which randomly occurs. The aim of this paper is to determine the parameters of the designed asynchronous filter. By utilizing the convex optimization technique and stochastic analysis theory, some new sufficient conditions with less conservatism are established, which ensure the resulting error system is stochastically stable with the extended dissipative performance level. The superiority and availability of the developed approach are finally verified by some comparison examples.  相似文献   

Moving horizon estimation for multirate systems with time-varying time-delays     

Ya Gu  Yongxin Chou  Jicheng Liu  Yan Ji 《Journal of The Franklin Institute》2019,356(4):2325-2345

This paper presents a moving horizon estimation approach for the multirate sampled-data system with unknown time-delay sequence. To estimate the unknown variables of interest, two main challenging issues need to be addressed: (a) synthesizing the multirate input and output data for state estimation, (b) simultaneously estimating the continuous state and discrete time-delay sequence. In this work a moving horizon estimation based approach is developed to tackle these issues. The proposed approach can simultaneously estimate both the continuous states and discrete time-delay sequence for dynamic systems. The effects of different noise level on the estimation of continuous states and discrete time-delay sequence are analyzed. The effectiveness of this method is illustrated through a simulation study.  相似文献   

具有钝化和激活效应的合作超网络演化机制研究     

索琪  郭进利 《现代情报》2018,38(5):60

［目的/意义］合作网络研究是近年来学者关注的一个热点问题,然而传统的网络分析方法只适合刻画两两合作者之间的合作关系,深入分析现实世界中的多人合作关系及其网络发展、演化机制,具有重要的现实意义。［方法/过程］引入超网络理论,构建节点具有钝化和激活状态的演化模型,探讨随机和择优两种驱动机制对合作网络演化过程的影响。仿真发现,择优机制驱动下点超度分布呈幂律分布;随机机制驱动下点超度分布呈指数分布。［结果/结论］选取现实合作网络的数据进行实证分析,实证结果与仿真结果相吻合。说明理论模型对于刻画现实合作网络具有一定的参考价值。  相似文献   

Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems     

Lijuan Liu  Yan Wang  Cheng Wang  Feng Ding  Tasawar Hayat 《Journal of The Franklin Institute》2018,355(15):7609-7625

This paper focuses on the parameter estimation problems of multivariate equation-error systems. A recursive generalized extended least squares algorithm is presented as a comparison. Based on the maximum likelihood principle and the coupling identification concept, the multivariate equation-error system is decomposed into several regressive identification models, each of which has only a parameter vector, and a coupled subsystem maximum likelihood recursive least squares identification algorithm is developed for estimating the parameter vectors of these submodels. The simulation example shows that the proposed algorithm is effective and has high estimation accuracy.  相似文献   

Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique     

Qinyao Liu  Feng Ding  Yan Wang  Cheng Wang  Tasawar Hayat 《Journal of The Franklin Institute》2018,355(15):7643-7663

This paper focuses on the parameter estimation problem of multivariate output-error autoregressive systems. Based on the decomposition technique and the auxiliary model identification idea, we derive a decomposition based auxiliary model recursive generalized least squares algorithm. The key is to divide the system into two fictitious subsystems, the one including a parameter vector and the other including a parameter matrix, and to estimate the two subsystems using the recursive least squares method, respectively. Compared with the auxiliary model based recursive generalized least squares algorithm, the proposed algorithm has less computational burden. Finally, an illustrative example is provided to verify the effectiveness of the proposed algorithms.  相似文献   

专利组合分析评价指标体系的构建   总被引：1，自引：0，他引：1  

于晶晶  谭思明 《现代情报》2009,29(12):152-155

根据我国专利文献数据的特点,在研究比较我国已有的专利评价指标体系和参考Holger Ernst的专利组合分析指标体系的基础上,初步建立适合我国国情的专利组合分析评价指标体系。从指标体系的设计目的、原则、指标选择和构建等方面进行分析研究,构建包括数量类指标、质量类指标和综合类指标的评价指标体系,以实现对各级组织的专利情况进行有效分析,进而为其制定技术研发和市场竞争战略提供分析工具和决策参考。  相似文献   

在构建和谐社会视阈下论新农村体育的发展   总被引：1，自引：0，他引：1  

胡秀英 《山西师大体育学院学报》2010,25(1):54-56

运用文献资料、逻辑分析等方法,对发展新农村体育的必要性、制约因素等问题进行分析研究,结合“十一五农民健身工程”,从政府服务、科学发展、经济发展、组织的建立等方面来探讨发展和谐社会下的新农村体育。明确新农村体育的发展方向,探索一条适合建设社会主义新农村体育的发展之路,以促进新农村体育的发展。在新的历史形势下,发展社会主义和谐社会下的农村体育是目前群众体育的重点,发展新农村体育是构建和谐社会、塑造社会主义新型农民的必要途径。  相似文献   

山东省武术专业人才培养现状的研究     

李淑梅  李小军  张媛萍 《山西师大体育学院学报》2010,25(3):71-73

运用文献资料、问卷调查、专家访谈等方法,考察了山东省高校培养武术人才的专业设置、规模及毕业生的就业情况。在此基础上提出人才培养对策：加强武术师资队伍建设;以市场需求为依托,适当控制专业招生规模;弘扬传统文化,发展地方传统武术;采用多种形式培养学生创新能力;加强学生现代化知识、技能的培养。  相似文献   

科技创业双重卷入对创业成长的影响机理研究     

万骁乐周键  李茜茜 《科研管理》2021,42(12):36-44

   创业卷入作为一种认知活动,在科技创业过程中发挥着重要作用。本文基于卷入理论,根据科技创业者角色认同特征将创业卷入划分为创业情境卷入和创业行业卷入,并从创业学习和吸收能力视角,构建了科技创业者创业双重卷入对创业成长的影响机理模型,通过对收集到的193份问卷进行有调节的中介实证检验。结果表明：科技创业者创业双重卷入有助于提升创业成长水平,创业学习在创业双重卷入与创业成长之间起到了中介作用,吸收能力正向调节了创业学习与创业成长之间关系。进一步的研究发现,吸收能力调节了创业学习在创业双重卷入与创业成长之间的中介效应。  相似文献   

科技成果转化知识管理与创新人才个体学习的耦合     

徐玲 《现代情报》2009,29(4):207-209

科技成果转化是一项复杂的系统工程,其本质是知识流的运动。创新人才的学习(内部学习和外部学习)对科技成果的转化起到了积极的促进作用。通过对科技成果转化过程研究,确立了科技成果转化知识管理与创新人才个体学习的关键耦合域,提出了科技成果转化过程三阶段知识学习重点,为提高我国科技成果转化效率和提升知识学习能力提供了理论依据和科学借鉴。  相似文献