DISCRETIZED SUB‐OPTIMAL TRACKER FOR NONLINEAR CONTINUOUS TWO‐DIMENSIONAL SYSTEMS

The discretized quadratic sub‐optimal tracker for nonlinear continuous two‐dimensional (2‐D) systems is newly proposed in this paper. The proposed method provides a novel methodology for indirect digital redesign for nonlinear continuous 2‐D systems with a continuous performance index. This includes the following features: (1) the 2‐D optimal‐linearization approach of the nonlinear 2‐D Roesser's model (RM), (2) the dynamic programming‐based discretized quadratic optimal tracker for linear continuous 2‐D systems, (3) the steady‐state discretized quadratic sub‐optimal tracker for linear continuous 2‐D systems, and (4) the discretized quadratic sub‐optimal tracker for nonlinear continuous 2‐D systems. Illustrative examples are presented to demonstrate the effectiveness of the proposed procedure.     

Imaging amoeboid cancer cell motility in vivo

The availability of multi-photon intravital microscopy has recently allowed researchers to start to visualise the dynamic behaviour of cancer cells in vivo. This imaging has revealed that many cancer cells ranging from carcinoma to melanoma move in an amoeboid manner in order to invade surrounding tissue and escape from the primary tumour. This mode on cell motility is extremely rapid and does not require the activity of proteases to degrade the extra-cellular matrix (ECM). This review details the techniques that are available to study cell motility in vivo and discusses the current knowledge about the mechanisms of amoeboid cell motility.     

大电网调度稳态自适应巡航场景架构

电力调度控制中心作为电网运行控制的指挥中枢和“决策大脑”,其自动化和智能化程度亟待提升。在此背景下,文中提出新一代电网调度稳态自适应巡航场景架构,在横向上将感知、评估、决策和控制等功能环节灵活组合和智能联动,在纵向上以任务为导向实现多级调度的协同控制。在介绍新一代电网调控系统场景理念的基础上,设计了大电网调度稳态自适应巡航场景的相关功能模块。原型系统上的试运行验证了设计的合理性。     

Path curvature of a geared seven-bar mechanism

This paper presents a graphical technique to locate the center of curvature of the path traced by a coupler point of a planar, single-degree-of-freedom, geared seven-bar mechanism. Since this is an indeterminate mechanism then the pole for the instantaneous motion of the coupler link; i.e., the point coincident with the instantaneous center of zero velocity for this link, cannot be obtained from the Aronhold–Kennedy theorem. The graphical technique that is presented in the first part of the paper to locate the pole is believed to be an important contribution to the kinematics literature. The paper then focuses on the graphical technique to locate the center of curvature of the path traced by an arbitrary coupler point. The technique begins with replacing the seven-bar mechanism by a constrained five-bar linkage whose links are kinematically equivalent to the second-order properties of motion. Then three kinematic inversions are investigated and a four-bar linkage is obtained from each inversion. The motion of the coupler link of the final four-bar linkage is equivalent up to and including the second-order properties of motion of the coupler of the geared seven-bar. Then the center of curvature of the path traced by an arbitrary coupler point can be obtained from existing techniques, such as the Euler–Savary equation. An analytical method, referred to as the method of kinematic coefficients, is presented as an independent check of the graphical technique.     

平面五杆机构连架杆转角空间分析

根据杆长之间的关系 ,把五杆机构分为三种类型 ,指出每种类型的两连架杆在转动过程各自所能转动的角度范围 ,给出求解平面五杆机构连架杆转角空间的数值算法。     

基于MBS的剪式座椅垂向刚度特性比较分析

采用多体系统(MBS)动力学分析软件ProMECHANICA/Motion建立了剪式座椅悬架的仿真模型。基于此模型,比较了6种典型弹簧布置方式下的座椅垂向刚度特性,分析了2种典型弹簧布置方式下连接点位置变化对座椅垂向刚度特性的影响。仿真结果表明,多数弹簧布置方式下的剪式座椅垂向刚度具有明显的非线性特性,且其非线性特性在工作行程内表现为软特性,软特性的强弱程度随弹簧布置方式的不同而不同,弹簧倾斜布置于两剪杆之间或剪杆与座椅底板之间时,座椅垂向刚度软特性的强弱随弹簧连接点位置的变化而变化。     

双质体弹性连杆式振动机双驱动自同步理论初探

对双质体弹性连杆式振动机的自同步问题进行了理论分析，给出了两个偏心轮的自同步及其稳定性条件，结果表明：只要保证一定的同个性指数，完全可以实现稳定的自同步运转状态。     

夹具CAD系统中定位误差分析计算的研究

本文就谋求夹具ＣＡＤ系统开发过程中，建立定位误差分析计算通用求解模型进行了研究、探讨．该模型应用尺寸链原理及信息提取技术，实现了定位误差尺寸链的动态建模及其合理解算．     

连杆机构运动学统一建模及通用系统设计

提出了连杆机构的通用模型表达；基于矩阵法，推导了机构运动学统一建模公式；在以上基础上，实现了连杆机构运动学分析的通用系统ＧＨＭＥＣＨ。     

基于信息熵的高维分类型数据子空间聚类算法

由于分类型数据相异度度量的局限性以及分类型数据在高维空间中的稀疏性,使得传统的相异度度量在高维分类型数据聚类中失效,针对上述问题,本研究提出了一个基于信息熵的理论高维分类型数据聚类算法。该算法综合考虑对应子空间和噪声空间的维度信息熵设计了一个高效、无监督的子空间搜索对高维数据进行有效降维,同时提出了基于整体数据的平均信息熵的全局优化方法对聚类结果进行迭代寻优。通过用人工数据和Votes、Mushroom和Soybean 3个典型的真实分类数据集试验,与其他分类型聚类算法相比,新算法在聚类准确性、熵值、CU（category utility）以及类个数等指标上有明显提高。