Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Channel Noise

Channel noise, including sensor‐to‐controller(SC) noise and controller‐to‐actuator(CA) noise, impacts the convergence of wireless remote iterative learning control (ILC) system significantly. In this paper, the relationship between output error, SC noise and CA noise is obtained firstly by super‐vector formulation, and then the norm of output error vector covariance matrix is employed to analyze the convergence of the system in presence of SC noise and CA noise. Upper bound of the norm at any sample time reveals that the SC noise is accumulated only in iteration domain, while the CA noise is accumulated not only in iteration domain but also in time domain. Furthermore, the accumulated effect of the CA noise in time domain is ruled by system matrices, so the values of which determine the effect of the CA noise is greater or less than that of the SC noise on convergence of the system. Finally, some simulation results are given to illustrate correctness of the result.     

An Interacting Multiple Model Approach for State Estimation with Non‐Gaussian Noise Using a Variational Bayesian Method

The conventional interacting multiple models (IMM) approach for a hybrid system under the Gaussian assumption is limited for most real applications due to the noisy measurements often being in the presence of outliers. This paper aims at accommodating the IMM approach to the non‐Gaussian cases where outliers exist. In the proposed IMM algorithm, the Student‐t distribution is used to model the non‐Gaussian measurement noise. At the interaction step, the mixed statistics of the noise parameter under a Bayesian framework are obtained via a Gamma approximation and a recently reported moments matching method. To address the state noise‐coupled intractability in Bayesian filtering, a variational Bayesian method is utilized to approximate the posterior distributions of the noise and state recursively. The proposed algorithm is tested with a maneuvering target tracking example and is shown to be robust to the outliers.     

基于物联网技术的人体云健康监护及预警系统

针对传统医疗监护系统存在导联线过多,用户活动受限,预警、就医指导不足等问题,设计了基于基于物联网技术的人体云健康监护及预警系统,该系统以智能手机为预警显示平台,并结合穿戴式测技术和无线通信技术能有效实现多项生理参数的无创采集、移动传输、智能处理以及语音智能控制、预警等功能;实验表明该系统具有操作简单,可扩展性强、使用效果优等特点,为肢体残障者疾病预警提供了技术支撑,为个人、家庭、社区监护和远程医疗创造了条件.     

基于语法结构的源代码搜索的研究

现有的源代码搜索引擎大都是基于文本的搜索,没有利用代码在语法上的特性,因此在搜索准确性方面受到极大的限制.本文从语法结构角度,提出一种源代码的过滤方法,构造基于语法结构的代码过滤器,从而抽取对搜索有用的信息.通过该方法实现了一个基于语法结构的源代码搜索引擎.实验表明本文所建立的源代码搜索在搜索准确度、搜索结果展示的友好性方面都有改进.     

论述高校信息化建设的现状及发展

随着现代信息技术的发展,高校的信息化建设也呈现了蓬勃发展的态势。文章对我国高校的信息化现状和目前信息化建设中存在的问题进行详细分析,提出我国高校信息化的发展策略。指出只有在保持前进的步伐下坚持发现问题、解决问题,这样高校的信息化才能顺畅的发展下去。     

Android智能手机的云服务应用研究

云计算的应用目标并不仅局限于PC,随着移动互联网的蓬勃发展,基于手机等移动终端的云服务已成为IT行业炙手可热的新业务发展模式。本文基于Openmobster搭建移动云计算环境,并利用Android智能手机作为终端来访问云端服务器资源,以数据传输的事务处理为应用背景,采用c／s模式和B／S模式相结合的方式,建立了云服务下移动智能终端信息采集和处理的基础架构,并根据此架构初步实现了追踪定位的功能。该方法通过无线网络连接,利用服务器端与手机客户端的即时通信,实现了为Android智能手机提供云推送和云同步的服务。     

Android手机中基带跟踪数据的导出功能设计

本文主要基于现有Android手机系统框架设计了一种基带跟踪数据导出方案。对方案的总体框架、AP侧的软件流程、CP侧跟踪数据发送流程、串口通信机制的设计进行了详细说明,并给出了方案验证。在由三星公司Exynos4412四核AP芯片和重邮信科公司C6310双模CP芯片组成的手机硬件系统上实现和测试了该方案。实验结果表明,该基带数据导出方案在实际产品中具有良好的可靠性和可行性。