基于稳健优化设计的产品方案评价体系研究

基于稳健优化设计的思想,提出了机械产品设计系统的体系结构,对产品方案模糊评价分析的指标体系、数学模型进行了深入研究,并给出了产品方案评价的应用实例。该研究对于缩短产品的研制周期,降低生产成本,提高产品质量具有非常重要的意义。     

开关线性复合电源探讨

介绍了一类由开关放大电路与线性放大电路复合而成的电压跟随器型电源,分析其构成原理,拓扑结构.理论分析、仿真和实验结果表明它具有高效与优波兼顾的特性,以及适应多类负载(含非线性负载)和抗负载扰动的能力.     

Automated real-time railway traffic control: an experimental analysis of reliability,resilience and robustness

Railway transportation provides sustainable, fast and safe transport. Its attractiveness is linked to a broad concept of service reliability: the capability to adhere to a timetable in the presence of delays perturbing traffic. To counter these phenomena, real-time rescheduling can be used, changing train orders and times, according to rules of thumb, or mathematical optimization models, minimizing delays or maximizing punctuality. In the literature, different indices of robustness, reliability and resilience are defined for railway traffic. We review and evaluate these indices applied to railway traffic control, comparing optimal rescheduling approaches such as Open Loop and Closed Loop control, to a typical First-Come-First-Served dispatching rule, and following the timetable (no-action). This experimental analysis clarifies the benefits of automated traffic control for infrastructure managers, railway operators and passengers. The timetable order, normally used in assessing a-priori reliability, systematically overestimates unreliability of operations that can be reduced by real-time control.     

一种基于CARMA模型的鲁棒广义预测控制算法

本文基于CARMA模型提出了一种鲁棒广义预测控制算法。该算法在有色噪声情况下,不必 估计噪声多项式C,且只解一个Diophantine方程即可获得满意的控制效果,特别是与现有基 于CARMA模型的改进广义预测控制算法比较,它还具有能克服随机负载扰动的优点。各种 情况下的仿真结果表明,本算法控制效果好,鲁棒性强,计算量小。      

信息隐藏技术及军事应用

信息隐藏技术作为信息安全领域的一门新兴学科，在军事领域有着广阔的应用前景。介绍了信息隐藏技术的含义、通用模型、基本特征和常用方法及在军事领域中的应用。     

Robust design of a passive linear quarter car suspension system using a multi-objective evolutionary algorithm and analytical robustness indexes

This paper deals with the robust design of a passive vehicle suspension system. A robust design methodology based on a multi-objective evolutionary algorithm (MOEA) is used to handle the trade-off between the considered conflicting performance requirements under uncertainty and feasibility constraints. A constrained multi-objective optimisation problem is formulated and the notion of Pareto-optimality is used to increase the quality of the candidate design solutions obtained at each generation by the MOEA. To save computation time, a simplified physical model (quarter car) is considered and the optimisation is performed in the frequency domain, using relevant transmissibilities of the system. The robustness is directly investigated by means of analytical robustness indexes. Time-consuming a posteriori methods, like designs of experiments or Monte Carlo analysis, are therefore avoided. A set of non-dominated solutions is obtained. Thus the designer not only selects a special design, in accordance with the wanted vehicle configuration, but also includes the robustness of each performance requirement in his final decision.     

葫芦单梁门式起重机可靠性稳健优化设计

以MH60葫芦单梁门式起重机为算例，应用可靠性设计和稳健设计相结合的基本思想，将问题归结为满足可靠性要求的多目标优化，并给出服从正态分布参数的主梁可靠性稳健优化的数学模型，根据数据计算得到可靠性优化的主要尺寸参数。     

Interurban road network planning model with accessibility and robustness objectives

Abstract

Road network planning (or design) problems consist of determining the best investment decisions to be made with regard to the improvement of a road network. In this paper, we propose an optimization model for long-term interurban road network planning where accessibility and robustness objectives are simultaneously taken into account. Three network robustness measures were defined to assess different robustness concerns: network spare capacity; city evacuation capacity; and network vulnerability. The results that may be obtained from the application of the model are illustrated for three random networks. Special attention is given to the implications of adopting each one of the robustness measures upon the optimum solution provided by the model.     

基于Harris的改进SIFT算法

SIFT算法是一种具有尺度不变性的特征提取算法,能够有效地提取图像中的局部特征.为了在提高SIFT算法实时性的同时兼顾算法鲁棒性,利用Harris算法思想中使用图像灰度一阶偏导数的局部自相关函数的方法对SIFT算法进行改进,消除SIFT算法中因使用Hessian矩阵出现的边界效应.这种改进方法可以有效去除SIFT算法中因使用Hessian矩阵消除边界效应时提取出的处于边界位置或亮度不够的特征点,提高图像拼接的质量.实验证明改进的算法提高了算法的检测时间和鲁棒性,将改进的算法应用于制作虚拟漫游系统,取得了良好的效果.