Sampled-data based average consensus with measurement noises: convergence analysis and uncertainty principle

In this paper, sampled-data based average-consensus control is considered for networks consisting of continuous-time first-order integrator agents in a noisy distributed communication environment. The impact of the sampling size and the number of network nodes on the system performances is analyzed. The control input of each agent can only use information measured at the sampling instants from its neighborhood rather than the complete continuous process, and the measurements of its neighbors’ states are corrupted by random noises. By probability limit theory and the property of graph Laplacian matrix, it is shown that for a connected network, the static mean square error between the individual state and the average of the initial states of all agents can be made arbitrarily small, provided the sampling size is sufficiently small. Furthermore, by properly choosing the consensus gains, almost sure consensus can be achieved. It is worth pointing out that an uncertainty principle of Gaussian networks is obtained, which implies that in the case of white Gaussian noises, no matter what the sampling size is, the product of the steady-state and transient performance indices is always equal to or larger than a constant depending on the noise intensity, network topology and the number of network nodes.     

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)     

论网站页面设计的一致性原则

随着网络技术与电子商务的发展,网站页面设计也越来越受重视,优秀的网页虽然各有特色,但都遵守最基本的原则即保证页面的一致性。通过从页面结构、色彩、导航栏以及页面标准元素功能四个角度分析应如何设计网站页面,既保证页面之间的一致性,又使得读者不会因页面风格过于一致而产生视觉疲劳,并在此基础上提出了一个基本的保证页面一致性的设计方法。     

高校网络实验室建设方案探讨与设计

高校强调培养动手能力强、生产一线的技术型人才,很多高校瞄准市场对网络人才的需求,纷纷开办网络专业,但目前很多学校网络专业没有很好的实训条件的支撑,导致毕业的学生动手能力不强,不受市场欢迎的尴尬局面．针对这种现象文章论述了建设网络实验室的意义．提出建设的原则。给出满足当前网络技术需求的网络实验室典型解决方案,在此方案基础上设计了网络实验的内容．     

灵活运用信息技术,促进教学质量提高

该文通过以详细阐述信息技术在课堂教学中的作用为引子,并通过多年教学过程中的不断探索,深刻地分析了充分发挥信息技术在课堂教学中的作用、方法和途径,以便达到提高教育教学质量的目的。     

高校网络实验室建设方案探讨与设计

高校强调培养动手能力强、生产一线的技术型人才,很多高校瞄准市场对网络人才的需求,纷纷开办网络专业,但目前很多学校网络专业没有很好的实训条件的支撑,导致毕业的学生动手能力不强,不受市场欢迎的尴尬局面。针对这种现象文章论述了建设网络实验室的意义,提出建设的原则。给出满足当前网络技术需求的网络实验室典型解决方案,在此方案基础上设计了网络实验的内容。     

求解带时间窗车辆路径问题的改进粒子群算法

通过分析已有粒子群算法对有时间窗约束的车辆路径问题求解质量不高的原因,提出了一种基于粒子交换原理的整数粒子更新方法。采用构造的双层粒子进化算法分别对8个和20个任务点的有时间窗约束的车辆路径问题求解,数值实验结果表明算法的求解精度和耗时均优于已有算法。     

手功能康复机器人的鲁棒控制研究

以手功能康复机器人为研究对象,对被控对象建立数学模型,推导鲁棒控制器,基于simMechanics建立仿真模型,实现手功能康复机器人的鲁棒控制系统。考虑到手功能康复机器人是帮助偏瘫患者进行康复训练并最大限度地诱发患肢的主动作用,控制器中加入偏瘫患者的主动作用函数。控制系统在MATLAB／Simulink的环境下仿真,结果表明所设计的鲁棒控制器能适应不同程度的偏瘫患者,具有较佳的动态特性和很强的鲁棒性能。     

基于新型协调量化容差关系的不完备数据填补方法

提出一种基于新型协调量化容差关系的不完备数据补齐算法。首先求出属性值不完备对象的容差类,结合属性的重要度,将容差类里面的对象容差关系量化,再根据决策规则独立原则,在尽可能保持系统协调性的前提下对缺失属性值进行补齐。大量实验证明了本算法的有效性。     

Application of maximum entropy principle for reliability-based design optimization

The maximum entropy principle (MEP) is used to generate a natural probability distribution among the many possible that have the same moment conditions. The MEP can accommodate higher order moment information and therefore facilitate a higher quality PDF model. The performance of the MEP for PDF estimation is studied by using more than four moments. For the case with four moments, the results are compared with those by the Pearson system. It is observed that as accommodating higher order moment, the estimated PDF converges to the original one. A sensitivity analysis formulation of the failure probability based on the MEP is derived for reliability-based design optimization (RBDO) and the accuracy is compared with that by finite difference method (FDM). Two RBDO examples including a realistic three-dimensional wing design are solved by using the derived sensitivity formula and the MEP-based moment method. The results are compared with other methods such as TR-SQP, FAMM + Pearson system, FFMM + Pearson system in terms of accuracy and efficiency. It is also shown that an improvement in the accuracy by including more moment terms can increase numerical efficiency of optimization for the three-dimensional wing design. The moment method equipped with the MEP is found flexible and well adoptable for reliability analysis and design.