等距半群的扰动

对于Hilbert空间H上等距群的无穷小生成元A，在其扰动算子B是反对称算子且关于A的相对界小于1的条件下，利用m-保守耗散算子和自伴算子的扰动定理，证明扰动后算子A B仍然是等距群的无穷小生成元，并以Schrǒdinger方程的初值问题为例说明了所得结果．     

H_∞控制在潜艇深度控制的应用

传统的PID控制器鲁棒性较差,模型参数变化对控制器的影响较大。为了提高系统的鲁棒性,将H∞控制器应用于潜艇机动控制。通过分析模型的速度参数摄动性,确定模型的干扰信号与评价信号,利用Matlab设计最优的H∞控制器。仿真结果表明在该控制器作用下,系统达到了信号跟踪的要求,并且在速度有较大摄动时,系统仍有较好的动态性能,即系统的鲁棒性较好。该方法亦可用于潜艇模型的其他单个或多个参数摄动的鲁棒性设计。     

Active heave compensation of floating wind turbine installation using a catamaran construction vessel

The application of floating wind turbines is limited by the high cost that increases with the water depth. Offshore installation and maintenance continue to consume a high percentage of the project budget. To improve the installation efficiency of the floating offshore wind turbine, a novel concept is proposed by the SFI MOVE project. Several wind turbine superstructure components are preassembled onshore and carried to the installation site by a catamaran construction vessel. Each assembly can then be installed using only one lift, and the concept is less sensitive to weather conditions. In this paper, a control algorithm of the proposed hydraulic active heave compensator system is developed using singular perturbation theory to cancel the relative motion between the spar top and gripped preassembly bottom. Closed-loop stability is proven, and the simulation results show that the installation efficiency is improved with an increase in the acceptable weather conditions.     

成都地铁密实砂卵石地层工程地质特性及施工方法浅析

地层的工程地质特性直接影响到支护参数及施工方法的选择。文章结合成都地铁工程实践,介绍了成都砂卵石地层的降水效应;通过对监测数据的分析,反映在CD法和台阶法两种不同施工方法条件下,地层变形及内力变化情况,为制定合理的施工方案提供借鉴和参考。     

新型沥青路面压实机械分析

分析了一种新型沥青路面压实机械（HIPAC）的特点，该机采用前后两条履带来代替通常的钢轮，对热沥青路面进行压实。度用表明它可较早对热沥青路面进行压实，有利于提高沥青路面的压实度和平整度，这是履带应用的创新。     

基于直接模态摄动法的无阻尼线性随机结构的随机振动研究（I）——随机自振特性求解

针对于多自由度线性复合随机结构的随机自振特性分析,提出了基于数论选点的直接模态摄动法。首先利用数论选点法选取结构样本,然后采用直接模态摄动法计算样本结构相对于均值结构的摄动量,从而得到样本结构的模态,最后采用统计方法求得随机模态。对于较少随机变量确定的随机结构,基于数论选点的直接模态摄动法,其计算效率较传统的Monte Carlo模拟法效率要高,可以很快很准确地得到计算结果。     

The Singularly Perturbed Problem for Nonlinear Nonlocal Reaction Diffusion Systems

IntroductionRecently the nonlinear singularly perturbedproblem has been investigated in the internationalacademic circles[1] .Approximation methods havebeen developed and refined,including the methodof averaging,boudary layer method,matchedasymptotic expa…     

关于结构的可加性扰动的鲁棒极点配置

讨论了ＳＩＭＯ系统和ＭＩＳＯ系统在结构的中加性扰动下实现鲁棒的任意极点配置的充分必要条件,得出了有可能实现鲁棒任意极点配置时控制的阶次。并通过引入循环矩阵的方法将上述结果推广到ＭＭＯ系统,得到了线性多变量系统在结构的可加性扰动下实现鲁棒的任意极点配置的条件。     

指数有界C余弦算子函数与积分余弦函数的扰动

研究了指数有界C余弦算子函数在C不必具有稠值域时的扰动问题,并根据积分余弦函数与C余弦算子函数的基本关系,进而得到了2n次积分余弦函数带非稠定生成元的扰动结果．     

Coordinated online in-vehicle routing balancing user optimality and system optimality through information perturbation

The inconsistence between system optimality and user optimality represents one of the key difficulties on network traffic congestion control. The advanced connected vehicle systems, enabling smart vehicles to possess/exchange real-time information and conduct portable computation, provide new opportunities to address this challenge. Motivated by this view, this study proposes a coordinated online in-vehicle routing mechanism with intentional information provision perturbation (CRM-IP), which seeks to shape individual vehicles online routing decisions so that user optimality and system optimality are balanced, by exploiting bounded rationality of the users. The proposed CRM-IP is modeled as a pure strategy atomic routing game, and implemented by a sequentially updating distributed algorithm. The mathematical analysis is conducted to quantify the absolute gain of system optimality corresponding to the loss of user optimality resulting from a given level of the information perturbation in the worst case so that the efficiency of the information perturbation can be evaluated. Furthermore, numerical experiments conducted based on City of Sioux Falls network investigate the average effects of the CRM-IP on system optimality and user optimality under various network traffic conditions, comparing to the CRM developed by Du et al. (in press). The results indicate that the improvement of system optimality and the reduction of individual vehicles’ travel time from the CRM is more significant when the network traffic is under an mild congestion state, such as under the levels of service (LOS’s) C, D, and E, rather than under extremely sparse or congested states, such as under LOS’s A and B, or F. Moreover, higher level of information perturbation benefits system optimality more, but the marginal effect decreases after the perturbation reaching certain level, such as $\lambda =0.1$ in this case study. In addition, a portion of vehicles may sacrifice user optimality due to the information perturbation, but the extent of the sacrifice is not significant, even though it increases with the information perturbation level. Hence, a small information perturbation is recommended to achieve an efficient network traffic control through the CRM-IP. Overall, this study proposes the CRM-IP as an efficient routing mechanism, which has a great potential to guide the routing decisions of individual vehicles so that their collective behavior improve network performance in both system optimality and user optimality.