基于无线接入的一体化星载路由交换系统

在星载路由交换系统设计过程中,存在长时延、多波束等问题。该文提出面向连接的无线接入方法和一体化交换流程,在复杂的卫星多波束环境中,利用有限星载资源实现多用户接入和快速交换,设计星载路由交换系统,并给出初步实现方案。     

Design and analysis of switching reduced-order observer and separation principle for T-S fuzzy system

This paper designs and analyzes switching fuzzy reduced-order observer and proves that the corresponding separation principle does hold. A numerical simulation and comparison with smooth fuzzy full-order observer are given to assess switching fuzzy reduced-order observer and the validity of the separation principles. Supported by the National Laboratory of Space Intelligent Control and Open Foundation (Grant No. SIC07010202), and the National Natural Science Foundation of China (Grant Nos. 60604010, 90716021, 60736023)     

基于正交调制的IP-over-WDM光标记交换网络

详细阐述了基于正交调制格式的IP-over-WDM光标记交换网络的网络体系结构,给出了边缘路由器的结构图与核心路由器的实现方法,最后给出了基于正交调制格式的IP-over-WDM光标记传输实验,实验中的标记信号速率为312 Mb/s,净荷速率10Gb/s,在标准单模光纤(SMF)上实现了88km传输,实验结果表明了所述方案的可行性.     

多摄像机图像间的稳定切换控制

为获得连续动态的图像雅可比矩阵,分析了融合方式和传统图像直接切换方法的缺陷,提出了一种基于融合的多图像稳定切换算法,算法采用动态加权融合策略。在移动机器人位置未知和无标定多摄像机的情况下,仿真和实验结果表明:该算法比传统方法具有更高的适应能力,图像切换过程的稳定性得到了很大提高。     

高性能交换与调度仿真平台的设计与实现

仿真实验已成为交换结构和调度策略性能评价的重要手段,而目前存在的交换结构与调度策略的仿真软件在可继承性与可扩展性方面还存在缺陷.基于Crossbar交换结构,建立数学模型,引入系统级设计方法,采用面向对象技术,设计并实现了用于研究交换结构和调度策略的仿真平台——SPES(switching performance evaluation system).该平台集成了输入排队、输出排队、联合输入输出排队、联合输入交叉点排队等多种交换结构以及相应调度策略.设计上实现了业务流、交换结构和调度策略三者之间的分离,具有良好的可继承、可扩展特性.用户通过与仿真平台之间的简单交互,完成模块的添加与仿真环境参数的配置,在支持变长业务、区分服务质量模型和多交换平面仿真方面具有良好的特性.通过简单扩展。该平台还可以实现网络级性能仿真.最后给出了基于该平台,在CICQ(combined input and crosspoint queuing)交换结构下,对所提出的支持DiffServ模型的分布式调度策略DS(DiffServ supporting algorithm)在不同业务流模型下的性能测试结果,并与输入、输出排队交换结构进行了比较,展示了DS良好的性能,验证了仿真平台的合理性.     

基于动态模型库的多模型切换控制

针对含有有界扰动和模型参数跳变的离散时间系统,提出基于动态模型库的多模型切换控制方法.在模型参数范围未知情况下,利用在线学习的多模型自适应控制算法自动建立多模型,并对模型库中的子模型进行优化.采用具有积分特性的指标函数作为切换准则.在每一采样时刻根据其最小值来选择与实际系统最接近的模型,并将基于此模型的控制器切换为当前控制器.文中证明了该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性.计算机仿真结果表明该算法的有效性.     

Touch‐screen panel integrated into 12.1‐in. a‐Si:H TFT‐LCD

Abstract— A touch‐screen‐panel (TSP) embedded 12.1‐in. LCD employing a standard existing a‐Si:H TFT‐LCD process has been successfully developed. Compared with conventional external touch‐screen panels, which use additional components to detect touch events, the new internal TSP exhibits a clearer image and improved touch feeling, as well as increased sensing speed using discrete sensing lines to enable higher‐speed sensing functions including handwriting. The new internal digital switching TSP can be fabricated with low cost because it does not require any additional process steps compared to a standard a‐Si:H TFT‐LCD.     

Tracking control for switched linear systems with time‐delay: a state‐dependent switching method

Tracking control for switched linear systems with time‐delay is investigated in this paper. Based on the state‐dependent switching method, sufficient conditions for the solvability of the tracking control problem are given. We use single Lyapunov function technique and a typical hysteresis switching law to design a tracking control law such that the H_∞ model reference tracking performance is satisfied. The controller design problem can be solved efficiently by using linear matrices inequalities. Since convex combination techniques are used to derive the delay independent criteria, some subsystems are allowed to be unstable. It is highly desirable that a non‐switched time‐delay system can not earn such property. Simulation example shows the feasibility and validity of the switching control law. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Dynamic file grouping for load balancing in streaming media clustered server systems

A dynamic file grouping strategy is presented to address the load balancing problem in streaming media clustered server systems. This strategy increases the server cluster availability by balancing the workloads among the servers within a cluster. Additionally, it improves the access hit ratio of cached files in delivery servers to alleviate the limitation of I/O bandwidth of storage node. First, the load balancing problem is formulated as a two layers semi-Markov switching state-space control process. This analytic model captures the behaviors of streaming media clustered server systems accurately, and is with constructional flexibility and scalability. Then, a policy iteration based reinforcement learning algorithm is proposed to optimize the file grouping policy online. By utilizing the features of the event-driven policy, the proposed optimization algorithm is adaptive and with less computational cost. Simulation results demonstrate the effectiveness of the proposed approach. Recommended by Editor Hyun Seok Yang. This work was supported by the National Natural Science Foundation of China under grant Nos. 60774038, 60574065, National 863 HI-TECH Research & Development Plan of China under grant Nos. 2006AA01Z114, 2008AA01A317, Natural Science Foundation of Anhui Province under grant No. 070412063, Graduate Student Innovation Foundation of USTC under grant No. KD2006036, and Science Research Development Foundation of HFUT under grant No. GDBJ2008-045. Qi Jiang received the B.S. degree in Industrial Electrical Automation from Southeast University in 1989 and the Ph.D. degree in Control Science and Engineering from University of Science and Technology of China in 2008. He is currently a Post-doc in USTC. His research interests include optimization and control of stochastic dynamic systems, and performance analysis and optimization of network communication systems. Hong-Sheng Xi received the M.S. degree in Applied Mathematics from University of Science and Technology of China in 1977. He is currently a Professor in Department of Automation, USTC. His research interests include discrete event dynamic systems, performance analysis and optimization of network communication systems, robust control, and network security. Bao-Qun Yin received the B.S. degree in Mathematics from Sichuan University in 1985, the M.S. degree in Applied Mathematics and the Ph.D. degree in Pattern Recognition and Intelligent Systems from University of Science and Technology of China in 1993 and 1998, respectively. He is currently a Professor in Department of Automation, USTC. His research interests include discrete event dynamic systems, and Markov decision processes.