广义线性系统的脉冲弱可观性

本文利用广义系统的系数矩阵,构造了它的不变子空间及其算法,在此基础上讨论了其广义弱可观性和脉冲弱不可观性。     

实时控制计算微分代数系统的代数约束算法

本文结合实际的航天工程背景,针对飞行器轨道约束实时控制模型问题进行了算法研究。首先分析了ＢＤＦ方法用于飞行器轨道约束实时控制模型问题时的缺陷,其后针对实际问题的特点构造了具有三阶收敛的代数约束算法,分析了该算法的数值稳定性,并对潜地式弹道约束实时控制问题及指标（ｉｎｄｅｘ）为２的单摆模型问题进行了实际仿真计算,理论分析以及数值结果表明代数约束算法对指标为２的半显式微分代数系统的实时控制计算是非常有效的。     

用面向对象程序设计神经网络的算法类库

依据面向对象的程序（ＯＯＰ）设计的优越性,用Ｃ＋＋语言,针对神经网络ＢＰ算法和ＧＡ算法,编写了神经网络及其算法类库：目的是为神经网络学习算法的发展和深入及其应用于工程提供方便和有利工具．且给出利用该类库实现的非线性系统辨识结果     

一种通用的城市道路交通流微观仿真系统的研究

交通流仿真是研究交通问题的有效工具,本文采用复合概率、模糊逻辑等方法建立了描述交通流中不确定性因素、车辆的到达,在路段上行驶以及通过路口的微观仿真模型,并利用面向对象的方法设计实现了于种基于上述模型的通用城市交通流微观仿真系统,比较真实地再现了车辆在道路网络的行驶过程。     

The Grid Algorithm of the Development Coefficient and the Combination Coefficient of Background Value in GM（1,1） Model

This article gives the algorithm of the sector in which the development coefficient is, and the steps to simultaneously calculate the development coefficient and combination coefficient of background value. Unifying the development coefficient and the background value＇s coefficient of combination to optimize the model together, avoiding the malpractice to separate the two in traditional method, and avoiding the error brought out by matrix multiplication because of matrix＇s illness and so on in the traditional way, therefore increases the precision of the model.     

多阶段任务系统任务持续能力仿真模型研究

多阶段任务系统(PMS)是一种典型的复杂系统,它包括多个在时间上连续且无相互重叠的阶段任务,执行作战与使用任务的武器装备多数属于这种复杂系统。分析了PMS及任务可靠度、可信度和任务效能等任务持续能力评价参数。结合实际装备系统大都属于可用马尔可夫过程进行描述的可修复系统的特点,为简化模型复杂程度提出了一些合理的假设条件。在此基础上,结合多阶段任务系统自身特点,通过分析多阶段任务系统任务持续能力建模仿真步骤,多阶段任务系统任务效能仿真方法,建立了基于Petri网的多阶段任务系统任务效能多层仿真模型。最后结合常见的"靶场打靶"任务进行了实例验证,并对仿真结果进行了分析。     

求解DRS多目标优化问题的新颖ε-支配进化算法

首先分析ORS(dominance resistant solutions)多目标优化问题的特点,证明基于Pareto-支配关系的多目标优化问题算法求解该类问题很难收敛.然后,提出一种新的基于ε-支配关系的进化算法-ε-支配进化算法(EDMOEA),给出该算法框架和详细流程.最后,将ε-支配进化算法和NSGA-Ⅱ算法应用于求解一组典型的DRS多目标优化问题和常用的多目标优化测试问题,基于算法的收敛性和Pareto最优解集分布性进行评价和比较分析,表明ε-支配进化算法的有效性.     

Research on secure buyer-seller watermarking protocol

A new buyer-seller watermarking protocol is proposed by applying a double encryption method and a novel mechanism of embedding a buyer＇s watermark. The protocol can effectively prevent against collusion attacks and the man in the middle attack if the third party is not trusted. Also, based on the proposed scheme for the first-hand transaction, a new buyer-reseller watermarking protocol and a formal multi-party watermarking protocol are also proposed. The proposed buyer-resell watermarking protocol only needs the original seller to provide transfer certificate and encryption-decryption service to support the second-hand transaction, and the multi-party watermarking protocol with distributed certificate authorities can overcome the difficulty in the combination of multicast mechanism with multiple unique watermarks and allow a seller to multicast the watermarked digital contents and key transaction information to n buyers. Furthermore, the idea of zero knowledge proof is also applied into the proposed scheme to allow the seller to take an effective control on the task performed by the third party.     

On-Line Scheduling of Unit Time Jobs with Rejection on Uniform Machines

The authors consider the problem of on-line scheduling of unit execution time jobs on uniform machines with rejection penalty. The jobs arrive one by one and can be either accepted and scheduled, or be rejected. The objective is to minimize the total completion time of the accepted jobs and the total penalty of the rejection jobs. The authors propose an on-line algorithm and prove that the competitive ratio is 1/2 （2 W √3） ≈ 1.86602.     

Pulsar/CNS integrated navigation based on federated UKF

In order to improve the autonomous navigation capability of satellite, a pulsar/CNS (celestial navigation system) integrated navigation method based on federated unscented Kalman filter (UKF) is proposed. The celestial navigation is a mature and stable navigation method. However, its position determination performance is not satisfied due to the low accuracy of horizon sensor. Single pulsar navigation is a new navigation method, which can provide highly accurate range measurements. The major drawback of single pulsar navigation is that the system is completely unobservable. As two methods are complementary to each other, the federated UKF is used here for fusing the navigation data from single pulsar navigation and CNS. Compared to the traditional celestial navigation method and single pulsar navigation, the integrated navigation method can provide better navigation performance. The simulation results demonstrate the feasibility and effectiveness of the navigation method.