非列紧空间的一般非扩张映象的Ishikawa迭代序列

本文证明了Hilbert空间上的非列紧的一般非扩张映象的Ishikawa迭代序列的收敛性。     

Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System

This article presents an optimal hybrid fuzzy proportion integral derivative (HFPID) controller based on combination of proportion integral derivative (PID) and fuzzy controllers, by which the parameters could be evaluated by global optimization either in convergence velocity or in convergence reliability. Focusing on the nonlinear factors of hydraulic servo system, this article takes advantage of PID and fuzzy logic controller integrated with scaling factors to acquire precise tracking performances. To further improve the performances, it provides new developed optimization with rapid convergence to attain reliable approach probability. Focusing on the performance indictors of evolutionary algorithm, this article presents a new technique to predict reliability of the optimization algorithm. Statistics authenticates the effectiveness and robustness of the optimization. Further, many simulation and experimental results indicate that the optimal HFPID could acquire perfect immunity against parametric uncertainties with external disturbance.     

级数证明问题的几种处理方法

通过有关级数证明的几个例题，提出了思考和分析问题几种常用的方法。特别是对一般项为抽象形式的级数证明，更要思路开阔，根据所给的条件确定解决问题的不同方法。在级数的一般项中含有参数时，要对参数取值的不同情况进行讨论，才能得到完整的结果。最后介绍了一致收敛性质在证明问题中的应用，尤其当级数的一般项由定积分表示时，一致收敛级数的逐项微分、逐项积分的性质经常会用到。     

Excel在数值计算中的应用

本文介绍了用Excel电子表格解决数值计算中的计算问题，并用图表形式表示出运算结果。     

A FINITE ELEMENT SOLVER FOR NAVIER-STOKES EQUATIONS VIA VORTICITY AND VELOCITY

INTRODUCTIONThe stationary incompressible Navier- Stokesequations in the primitive variables( velocity uand pressure p)- vΔu + u . u + p =f . u =0u =g　inΩinΩonΓ( 1 )whereΩ is a set of R2 ,Γ its boundary,v thekinematic viscosity of the fluid,f a field of givenbody forces,and g a given field defined onΓ sa-tisfying the global conservation property∫Γg . n =0 ( 2 )n denotes the unit outer normal vector toΓ.The vorticity- velocity system of Eq.( 1 ) ,byintroducing the vorticityω…     

正项级数判敛法的强弱比较

研究了对数判敛法则链{k}在目前数学分析教科书中给出的诸多判敛法中的地位。     

一般概率测度的核估计

在测度弱收敛的意义下，研究了一般概率测度μ的核估计μn，得到了它的渐近无偏性、强相合性及在给定条件下的收敛速度。     

算术平均序列的收敛性

下述命题是熟知的:假设 {x_n)_(n=1)~∞是一数列且x_n=a 则1/n x_=a,并且我们知道它的逆命题是不真的。本文给出两个定理和两个推论,定理1断言S_n=1/nx_i 收敛于 a 和 b 的某种组合,这里 a 是(x_n)的子列极限,b 亦如此。在定理2中我们给出1/nx_i=0的一个充要条件,两个推论也是有趣的。     

牛顿迭代收敛的加速

基于Newton迭代法单根的二阶收敛性和重根的线性收敛性,提出了加速牛顿迭代收敛的思想。利用反函数的性质,取Taylor展开式的前三项进行迭代;并利用差商代替导数的方法,构造出更高收敛阶的迭代公式。大量的数值实验结果表明,本文算法理论上的推导是完全可行的,且有效地提高了迭代公式的收敛速度。     

An adaptive fast fixed-time guidance law with an impact angle constraint for intercepting maneuvering targets

Sliding mode guidance laws based on a conventional terminal sliding mode guarantees only finite-time convergence, which verifies that the settling time is required to be estimated by selecting appropriate initial launched conditions. However, rapid convergence to a desired impact angle within a uniform bounded finite time is important in most practical guidance applications. A uniformly finite-time/fixed-time convergent guidance law means that the convergence (settling) time is predefined independently on initial conditions, that is, a closed-loop convergence time can be estimated a priori by guidance parameters. In this paper, a novel adaptive fast fixed-time sliding mode guidance law to intercept maneuver targets at a desired impact angle from any initial heading angle, with no problems of singularity and chattering, is designed. The proposed guidance law achieves system stabilization within bounded settling time independent on initial conditions and achieves more rapid convergence than those of fixed-time stable control methods by accelerating the convergence rate when the system is close to the origin. The achieved acceleration-magnitude constraints are rigorously enforced, and the chattering-free property is guaranteed by adaptive switching gains. Extensive numerical simulations are presented to validate the efficiency and superiority of the proposed guidance law for different initial engagement geometries and impact angles.