卫星激光测距中激光脉冲波形变化的理论分析及数值计算

分析了激光测距中脉冲波形变化的物理过程,给出了该变化的数学描述,讨论了脉冲波形变化对卫星质心改正(CoM)和测距精度(RMS)的影响,并对上述变化和影响进行了数值计算.计算结果揭示了激光脉冲波形在各种因素影响下产生变化的规律性,这对于毫米级精度的卫星激光测距系统的设计具有实际意义.     

负跃层浅海中的脉冲声传播 *

利用具有波束位移的射线-简正波脉冲理论,计算了在典型的负跃层浅海中不同深度、不同距离和不同频率的带限信号波形,与实验中观察到的波形结构一致.在充分获得环境参数的条件下,浅海中信号波形的数值预报是完全可能的.     

快速路交通微分系统的脉冲迭代学习策略研究

针对快速路交通微分系统,结合该交通系统具有明显的重复性和周期性等特点,设计了一种脉冲迭代学习策略,并建立了迭代学习误差的收敛性条件.其次,利用λ范数和脉冲Gronwall不等式等方法证明了算法的收敛性.结合脉冲控制与学习控制的特点,该方法的优点在于容易实现和经济环保,且能有效地达到控制目的.最后,通过数值仿真实证进一步说明所设计控制方法的有效性.     

参激白噪声作用下蔡电路的脉冲控制

考察了参激白噪声和脉冲信号联合作用下蔡电路的渐近P阶矩稳定性问题,得到该随机脉冲系统的比较系统,从而可由该确定性比较系统的稳定性得到原随机脉冲系统的渐近P阶矩稳定性.并从理论上得到能使该随机脉冲系统渐近P阶矩稳定的参数取值范围,即在稳定区域内取值的参数组合能够用脉冲方法对该随机蔡电路实现混沌控制.最后用数值仿真验证了理论结果的正确性.     

基于模块脉冲函数的非线性随机It?-Volterra积分方程数值解（英文）

为求解非线性随机It?o-Volterra积分方程,本文介绍了一种基于模块脉冲函数的有效数值方法.运用模块脉冲函数的积分算子矩阵将非线性随机积分方程转化为代数方程.通过误差分析,证明该方法收敛速度良好.最后,利用实例验证了此方法的有效性.     

基于模块脉冲函数的非线性随机It\^{o}-Volterra积分方程数值解[英文]

为求解非线性随机It\^{o}-Volterra积分方程, 本文介绍了一种基于模块脉冲函数的有效数值方法. 运用模块脉冲函数的积分算子矩阵将非线性随机积分方程转化为代数方程. 通过误差分析, 证明该方法收敛速度良好. 最后, 利用实例验证了此方法的有效性.     

白噪声作用下统一混沌系统的脉冲同步

考察了白噪声和脉冲信号联合作用下统一混沌系统的随机渐近稳定性问题,得到该随机脉冲系统的比较系统,从而由该确定性比较系统的稳定性得到原随机脉冲系统的随机渐近稳定性.并从理论上得到能使该随机脉冲系统随机渐近稳定的参数取值范围,最后用数值仿真验证了理论结果的正确性.     

基于MINRES-QLP截断牛顿法的全波形反演

在全波形反演过程中,二阶梯度信息扮演着重要的作用.然而,由于其巨大的计算量和内存需求,限制了其在全波形反演问题中的应用.本文基于MINRES-QLP方法提出了一种高效的截断牛顿全波形反演方法.该全波形反演方法能够充分利用目标泛函的二阶梯度信息,提高反演精度.MINRES-QLP反演方法还能够利用Hessian阵负特征值信息,从而提高算法的重构分辨率和计算效率.针对Hessian阵计算难题,本文给出了一种矩阵向量相乘的快速算法.基于二维2004 BP模型,Sigsbee模型,验证了MINRES-QLP截断牛顿反演方法的有效性.数值结果表明MINRES-QLP截断牛顿法能充分利用二阶梯度信息和Hessian阵负特征值信息,从而加速算法收敛速度和提高成像精度.     

一类具有非线性脉冲接种的SIRS流行病模型分析（英文）

本文建立了一类具有非线性脉冲免疫接种与饱和接触率的SIRS传染病模型;利用离散动力系统的频闪映射方法得到了模型的无病周期解;利用Floquet乘子理论和脉冲微分方程比较定理证明了该周期解的全局渐近稳定性,并获得了模型持久性的充分条件;还通过数值模拟展示了数值模拟结果和理论结果的一致性.     

一类求解反应扩散方程的Newton波形松弛方法

对反应扩散方程提出一种新型的Newton波形松弛方法,并给出此方法的误差估计式.通过与传统的波形松弛方法比较,这种Newton波形松弛方法有更快的收敛性,且收敛速度不随网格加密而减慢.这种方法可以保持传统波形松弛方法可并行的特点.最后通过数值算例验证这种方法的有效性.     

Convergence analysis of waveform relaxation methods for neutral differential-functional systems

In this paper, the problems of convergence and superlinear convergence of continuous-time waveform relaxation method applied to Volterra type systems of neutral functional-differential equations are discussed. Under a Lipschitz condition with time- and delay-dependent right-hand side imposed on the so-called splitting function, more suitable conditions about convergence and superlinear convergence of continuous-time WR method are obtained. We also investigate the initial interval acceleration strategy for the practical implementation of the continuous-time waveform relaxation method, i.e., discrete-time waveform relaxation method. It is shown by numerical results that this strategy is efficacious and has the essential acceleration effect for the whole computation process.     

Bifurcation-free design method of pulse energy converter controllers

In this paper, a design method of pulse energy converter (PEC) controllers is proposed. This method develops a classical frequency domain design, based on the small signal modeling, by means of an addition of a nonlinear dynamics analysis stage. The main idea of the proposed method consists in fact that the PEC controller, designed with an application of the small signal modeling, is tuned after with taking into the consideration an essentially nonlinear nature of the PEC that makes it possible to avoid bifurcation phenomena in the PEC dynamics at the design stage (bifurcation-free design). Also application of the proposed method allows an improvement of the designed controller performance. The application of this bifurcation-free design method is demonstrated on an example of the controller design of direct current–direct current (DC–DC) buck converter with an input electromagnetic interference filter.     

基于二维随机震源的地震波全波形反演研究

全波形反演利用全部的波场信息做反演求解,兼顾了地震波的运动学特征和动力学特征,是一种直接基于波动方程描述地震波在地下介质中的传播过程,能够获得地质结构和岩性资料的方法.但是作为一种非线性反演算法,如何提高全波形反演的计算速度和成像精度是目前优化反演的难点和重点.针对全波形反演的效率问题,采用分层和模块化的matlab工具箱,开展了基于随机震源的全波形反演数值计算,由于采用的方法可以给定计算节点上的多线程资源,易于编程,无需矩阵,有效的减少了外部krylov迭代的数量,并将提出的方法与常规全波形反演方法进行对比分析,证明了基于随机震源全波形反演更加高效.     

混沌记忆系统的自适应反馈控制和轨迹跟踪控制

研究了混沌记忆系统的自适应反馈控制和基于反馈线性化的轨迹跟踪控制问题.首先,通过绘制系统的时域波形图和混沌吸引子图验证系统的复杂的动力学行为;然后,分别应用自适应反馈控制方法和基于反馈线性化的轨迹跟踪控制方法设计控制器,对系统施加控制;最后,通过数值仿真验证控制器的有效性.     

扩散炉炉丝设计原理

电热管式扩散炉在半导体工业中是常用的。本文利用乘子法和脉冲变分原理讨论了扩散炉的炉丝设计问题，给出了设计原理和计算方法。     

Radar Waveform Design and the Heisenberg Group

This paper presents a number of constructions based on the Heisenberg group that are relevant to the problem of radar waveform design. All of the constructions are based on the modification of the Weil transform of a waveform.     

An efficient algorithm for the parallel solution of high-dimensional differential equations

The study of high-dimensional differential equations is challenging and difficult due to the analytical and computational intractability. Here, we improve the speed of waveform relaxation (WR), a method to simulate high-dimensional differential-algebraic equations. This new method termed adaptive waveform relaxation (AWR) is tested on a communication network example. Further, we propose different heuristics for computing graph partitions tailored to adaptive waveform relaxation. We find that AWR coupled with appropriate graph partitioning methods provides a speedup by a factor between 3 and 16.     

Error bounds for spatial discretization and waveform relaxation applied to parabolic functional differential equations

The process of semi-discretization and waveform relaxation are applied to general nonlinear parabolic functional differential equations. Two new theorems are presented, which extend and improve some of the classical results. The first of these theorems gives an upper bound for the norm of the error of finite difference semi-discretization. This upper bound is sharper than the classical error bound. The second of these theorems gives an upper bound for the norm of the error, which is caused by both semi-discretization and waveform relaxation. The focus in the paper is on estimating this error directly without using the upper bound for the error, which is caused by the process of semi-discretization and the upper bound for the error, which is caused by the waveform relaxation method. Such estimating gives sharper error bound than the bound, which is obtained by estimating both errors separately.     

An algorithm for the removal of noise and jitter in signals and its application to picosecond electrical measurement

The accuracy of data recorded by many measurement systems is limited both by uncertainty in the measured value as well as by uncertainty in the trigger input to the system which controls when a measurement is taken. The former effect, which appears as noise on the underlying signal, is due, in part, to the sampling process and can often be reduced to an acceptable level by averaging many measurements. Noise on the trigger input gives rise to uncertainty in time between the trigger and the measurement points. The effect, known as jitter, causes a distortion of the signal which cannot be removed by averaging.We describe and analyse the effects of noise and jitter on a waveform, and an algorithm for removing, or reducing, these effects is presented. The work is motivated by an application in picosecond electrical and optoelectronic metrology where a laser pulse is measured by a system consisting of a photodiode and sampling oscilloscope. Here, since the length of the pulse is so short, perhaps only tens of picoseconds in duration, the effect of jitter is as pronounced as that of measurement noise. Results obtained by applying the algorithm to simulated data obtained from this application are presented.