高超声速飞行器的滑模边界层模糊自适应控制方法研究

针对高超声速飞行器飞行过程中存在的高度非线性、强耦合、参数不确定性等问题提出了一种基于滑模边界层模糊自适应的控制方法;首先将纵向模型进行精确线性化,通过引入一个滑模边界层可调参数,在边界层外施加基于正切趋近律的准滑模控制律;在边界层内,去掉准滑模控制律,采用饱和函数法设计的控制律;边界层参数用模糊逻辑系统进行在线调节,从而消除了系统处于准滑动模态时的高频抖振;仿真结果表明:该方法在保证控制系统具有良好跟踪性能的同时,具有削弱抖振的能力和强鲁棒性。     

关于搞好士官学员思想教育的几点思考

本文着重从士官学员的思想特点及其发展变化规律入手,研究如何针对这些特点和规律搞好思想教育工作。     

关于Markov过程的强大数定律

本文研究一般马氏过程的强大数定律．     

社交网站监管法律问题研究

本文着重分析了社交网站常见的法律问题,并通过比较研究各国的做法,试图总结出我国加强社交网站管理的监管措施。     

基于拓扑势的网络拓扑建模方法

针对现有拓扑建模研究中层次型模型不满足幂率分布规律的问题,提出一种基于节点拓扑势与幂率特性的层次化网络拓扑建模方法,给出拓扑生成算法PPHM。通过计算拓扑势实现网络节点的分层,能准确发现网络中的重要连接。对平均最短路径长度等拓扑参数的比较结果证明了该方法的有效性。     

动画专业人物基础素描特征浅析

动画素描表现形式与技法具有绘画艺术的普遍共性特征,多角度全方位理解与掌握人体造型与运动规律,简洁准确地表现人物的形体特征,将写生能力与形象记忆能力相结合并同步提高,为创造形象和专业学习打好基础。     

基于多核平台的IPSec VPDN的研究与实现

针对传统的单处理器系统上IPSec VPDN面临越来越多消耗大量计算能力的新型网络应用的困难,提出多核平台下的IPSec VPDN的数据接收和发送的多级并行计算的解决方案。根据多核系统本身的特点,通过多处理器间负载均衡和多核软件可执行代码级兼容性的改进,进一步提高多核系统下IPSec VPDN的处理能力。测试结果验证了多核系统下IPSec VPDN的实现方案的高效性。     

Information transmittal, Newton’s law of gravitation, and tensor approach to general relativity

The special relativity considered in [A. Einstein, Zur Elektrodynamik der bewegte Körper. Ann. Physik, 17 (1905) 891-921] is based on the concept of finite speed of information transmittal by the available signals (rays of light). It is demonstrated that the same concept applies to Newton’s law of universal gravitation since the magnitude of distances between attracting masses can be physically defined (carried, accounted in acting forces of gravity) only by signals (physical processes) propagating at finite velocities. It follows that the speed of propagation of gravity is finite. The linear transformations of special relativity are applied to Newton’s law of gravitation to take into account the relativistic effects of information transmittal in a field of central forces of attraction. Relativistic representations of Newton’s law are obtained with respect to the center of gravity exposing illusory effects that appear at high velocities. It is verified that in atomic physics the effect of Newtonian gravitation on the motion of elementary particles at high velocities is negligible also in relativistic consideration. Computational methods are developed to measure the intensity of gravitation at a distant space-time location using a body that travels in space, emitting uniform pulses of light that are received by the observer at a different space-time location. It is demonstrated that the tensor approach to the general relativity and the united theory of space, time and gravitation in which the geometrical properties (metric) of the four-dimensional space-time continuum depend on the distribution of gravitating masses in space and their motion represent a transformed Lorentz invariant with a new type of inertia in the field of forces changing in space and time. Real physical processes evolve according to the forces represented in the tensor form by this invariant which is equivalent to the coordinate-free local invariant of relativistic dynamics that defines the field and the motion of a body whose velocities and accelerations can be measured by relativistic identification methods at a point, time and direction of interest. The results open new avenues for research in the general relativity and can be used for software development, field measurements and experimental studies in application to distant or fast moving systems.     

电动舵机的复合自适应非奇异终端滑模控制

非奇异终端滑模控制（NTSMc）能够实现误差的有限时间收敛,但一般NTSMC的控制律采用高增益项来消除系统不确定性的影响,具有较强的保守性．为了降低这种保守性,本文采用复合白适应律对系统的不确定参数进行估计,按照估计值设计复合自适应非奇异终端滑模控制（CANTSMC）,对不确定参数引起的系统动态进行补偿．本方案曾经应用于电动舵机,以补偿不确定参数对模型动态性能的影响．本文证明了闭环稳定性,以及输出跟踪误差在有限时间内的收敛性．通过仿真验证了该方法的有效性．     

Software execution processes as an evolving complex network

Inspired by the surprising discovery of several recurring structures in various complex networks, in recent years a number of related works treated software systems as a complex network and found that software systems might expose the small-world effects and follow scale-free degree distributions. Different from the research perspectives adopted in these works, the work presented in this paper treats software execution processes as an evolving complex network for the first time. The concept of software mirror graph is introduced as a new model of complex networks to incorporate the dynamic information of software behavior. The experimentation paradigm with statistical repeatability was applied to three distinct subject programs to conduct several software experiments. The corresponding experimental results are analyzed by treating the software execution processes as an evolving directed topological graph as well as an evolving software mirror graph. This results in several new findings. While the software execution processes may demonstrate as a small-world complex network in the topological sense, they no longer expose the small-world effects in the temporal sense. Further, the degree distributions of the software execution processes may follow a power law. However, they may also follow an exponential function or a piecewise power law.