时滞系统的滤波器时间常数自调整内模控制

对于工业控制过程中的大时滞和时变系统,利用Smith内模控制原理设计方法,建立了滤波器时间常数λ的自整定方法,并建立了滤波器时间常数λ的模糊整定规则;通过在线调整滤波器时间常数λ来改善其闭环特性。仿真结果表明,对于在控制过程中过程对象与过程模型失配时,通过内模控制器的滤波器时间常数λ自整定;既改善了系统的控制品质又能提高控制系统的鲁棒性。且易于工程实现。     

多传感器多目标跟踪的JPDA算法

传统的联合概率数据关联算法(JPDA)是在密集杂波环境下的一种良好的多目标跟踪算法,但它是针对单传感器对多目标跟踪的情况下使用,不能直接用于多传感器对多目标的跟踪。针对这一问题,文中提出了一种适用于多传感器多目标跟踪的JPDA算法,它以极大似然估计完成对来自多传感器的测量集合进行同源最优分划,然后采用JPDA方法对多目标进行跟踪。经过理论分析和仿真试验,证明了该方法能有效地进行多传感器多目标的跟踪,且具有算法简单、跟踪精度高、附加的计算量小等优点。     

An Analysis of Decision Governing Mechanism of State-owned Enterprises in China

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一种作战任务分析仿真模型自动生成方法研究

IDEF3模型以其具有简单易学、容易理解掌握等特点，在对复杂的作战任务过程描述中得到了广泛应用，但是，IDEF3模型在对作战任务的逻辑、时间等方面的分析明显不足。而对象Petri网模型虽然可以解决上述问题，可是其建模困难，技术要求高。针对此问题，将二者有机地结合起来，实现IDEF3模型向对象Petri网仿真模型的自动转换，在对IDEF3形式化描述的基础上，给出了转换规则的形式化描述和仿真脚本自动生成的方法，最后，结合一个应用实例给予验证。     

基于活动重叠的DSM项目时间计算及排序优化

研发活动之间常存在顺序重叠和反馈重叠,重叠并行性会加快项目的进度,但又存在返工风险.为此,采用设计结构矩阵(DSM)信息输出和信息输入时间因子矩阵及返工风险矩阵,以更完整地描述活动重叠及其对返工的影响.提出了基于顺序重叠的项目持续时间计算方法和基于反馈重叠导致的返工时间计算方法.针对某案例活动排序优化问题,采用遗传算法以基于重叠的时间计算模型为目标函数进行优化,项目的持续时间和返工时间得到了明显的降低.     

基于统计分析的实时多任务流系统的最优调度

基于优先级的立即抢先算法是一种常用的调度算法,它能够较好地完成多任务流系统中的任务调度功能,但却不能保证任务的实时性要求。而JIT调度算法能保证任务的实时性要求,却不能很好地完成多任务流系统中的任务调度功能。在对实时多任务流系统进行统计分析的基础上,提出了一种嵌入JIT思想的立即抢先最优调度算法。实验结果表明,该算法能在完成任务调度功能的同时,最优地保证任务的实时性要求。     

多源图像实时配准融合系统

多源图像配准融合方法的理论研究较多,已有的融合系统往往针对特定应用通用性差,并且不具备实时性,而具有并行分布式计算机体系结构的通用实时图像融合系统有望解决这一问题。该系统的核心是基于标准总线上实时操作系统,以ADSP并行完成多源图像实时配准和融合,CPLD实现总线和视频同步控制。具有运算能力强、I/O带宽大、可扩展性和通用性强的特点,并以此构成了高速实时融合系统。实用表明此方案是可行的。     

Dynamic price model based on transmission delay — Petroleum price fluctuation in China

Petroleum is a kind of fundamental energy resource. Its price fluctuation transmits from upper-stream industry to the lower-stream industry as the production factors price changes. And this leads to the price changes of final consumption. Meantime, due to the cycle of industrial chain, the price changes of lower-stream industry also affect the upper-stream industry in return. This price transmission path is quite complicated. Firstly, it includes both direct and indirect paths; secondly, the transmission process is accompanied with time delay. The traditional input-output price model based on cost-push theory can efficiently solve the first problem when estimating the impact of price fluctuation on the whole price system. However, it neither reflects the dynamic characteristics of price transmission with time nor solves the second problem. To solve this problem, this paper uses the directed weighted network to describe the price transmission among industrial sectors by taking the time-dimension into account, and dynamic price transmission network model is constructed. This model not only describes transmission time delay more accurately, but also calculates the price fluctuation dynamically. On this basis, by utilizing the 2007 Chinese input-output table, this paper conducts empirical analysis on the impact of petroleum price fluctuation on other sectors. The empirical results indicate that the price fluctuation transmission mainly depends on two factors, the orice reaction period Tk and the consumption relationship with petroleum aik. 1） If t 〈 Tk, then the price change of sector k at period t △pkt = 0, the petroleum price fluctuation has not transmitted to the sector k, so the price of sector k remains unchanged. 2） If t 〉 Tk, then Apt 〉 0, and the greater aik, the higher price change rate. 3） If t →∞, it is the same with that in traditional input-output price model. So it can be clearly seen that dynamic price transmission network model is more general than the traditional model, and the traditional model is just an asymptotical special case when time approaches to infinity. Keywords Directed weighted network, input-output price model, petroleum price, transmission time delay.     

CPML在脉冲辐射场数值模拟中的应用研究

利用时域有限差分法对电磁脉冲模拟器辐射天线产生的电磁场进行数值模拟,在分析卷积完全匹配层(CPML,convolutional perfectly matched layer)原理的基础上,分别选用CPML和修正的完全匹配层(MPML)两种吸收边界条件进行对比分析,仿真结果表明CPML不仅可以吸收传播模,而且还能够有效吸收低频凋落波,获得了很好的截断效果,展示了其在电磁脉冲模拟器数值模拟中的应用前景。     

鱼雷尾流追踪弹道设计与仿真

建立了较完备的尾流仿真模型,给出了尾流空穴模型和机动目标尾流的正确描述。建立了尾流检测模型,给出了仿真原理及快速仿真算法。为尾流追踪弹道设计提供了良好的仿真平台,仿真结果表明,该系统完全可以用于弹道设计的数学仿真试验。     

试论社会主义和谐社会系统运行的控制机制

社会主义和谐社会是复杂动态的网络系统,其构建也是在复杂动态的运行机制系统中进行的。实现社会主义和谐社会系统的良性运行,必须健全和谐社会系统运行的控制系统,包括健全社会预控机制、建立有效的调控机制、强化安抚疏导控制机制、加强监控机制、强化法治外控机制、加强道德内控机制。只有建立了有效的控制系统,社会主义和谐社会系统才能梅建并始终又好又快地和谐运行。     

Multitask n-vehicle exploration problem: Complexity and algorithm

This paper extends the single-task n-Vehicle Exploration Problem to Multitask n-Vehicle Exploration Problem(MTNVEP),by combining n-Vehicle Exploration Problem with Job Scheduling Problem.At first,the authors prove that MTNVEP is NP-hard for fixed number of tasks,and it is strongly NP-hard for general number of tasks.Then they propose an improved accurate algorithm with computing time O(n3~n),which is better than O(n!) as n becomes sufficiently large.Moreover,four heuristic algorithms are proposed.Effectiveness of the heuristic algorithms is illustrated by experiments at last.     

金属目标覆盖双负介质时的宽带散射

由双负介质的本构关系出发,利用时频转换关系,推导出了描述双负介质中电磁场与电磁流的微分方程组。将该方程组按标准Yee元胞差分离散时电场和磁流在整数时间步取值,磁场和电流在半整数时间步取值。电流在电场的节点取样而磁流在磁场的节点取样,得到用于FDTD计算的三维递推表达式。讨论了双负介质和双正介质交接面处介质参数的处理方法。随后,与文献结果对比验证了该算法和程序的正确性。最后,计算了金属目标覆盖双负介质时的宽带散身,结果表明双负介质覆盖层可以在宽频段内减小金属目标的后向RCS。     

一类不确定执行器非线性系统的自适应控制

针对一类带不确定执行器非线性的控制系统,提出了一种自适应神经网络控制方法。建立了包括死区、齿隙和“类齿隙”磁滞特征的非线性执行器模型。通过结合所建立的模型和Nussbaum增益技术,解决了当执行器非线性不确定时的控制问题。所设计的方案不需知道非线性特征参数边界,并且当非线性特征为死区时,其坡度可以为时变的。引入了自适应补偿项消除建模误差和干扰的影响。仿真结果验证了该方法的有效性。     

频域相关器在低轨小卫星中的应用

针对频域相关器在频域上进行直接序列扩频信号的捕获,可以显著地加快捕获速度,缩短捕获时间,在进行直接FFT补零做法的性能分析后,指出直接补零会带来性能的恶化。然后提出了一种新的算法,即把频域相关长度加倍,证明它可以完美地解决频域相关器的FFT长度不匹配的问题,同时与时域相关器相比,仍然大大地降低了计算量,缩短了捕获时间,并给出了在基于数字信号处理器(DSP)实现时频域相关器和时域相关器的计算量比较结果。     

Reliability indices of discrete-time Geox/G/1 queueing system with unreliable service station and multiple adaptive delayed vacations

This paper considers the discrete-time Geo~x/G/1 queueing model with unreliable service station and multiple adaptive delayed vacations from the perspective of reliability research.Following problems will be discussed:1) The probability that the server is in a "generalized busy period" at time n;2) The probability that the service station is in failure at time n,i.e.,the transient unavailability of the service station,and the steady state unavailability of the service station;3) The expected number of service station failures during the time interval(0,n],and the steady state failure frequency of the service station;4) The expected number of service station breakdowns in a server’s "generalized busy period".Finally,the authors demonstrate that some common discrete-time queueing models with unreliable service station are special cases of the model discussed in this paper.     

Perfectly matched layer implementation for ADI-FDTD in dispersive media

1.INTRODUCTIONThe finite difference time domain(FDTD)method iswidely used for solving electromagnetic problems[1].The Courant stability condition must be satisfiedwhen the method is used.Alternating direction i m-plicit finite difference ti me domain(ADI-FDTD)method proposed by Namiki is based on the alternat-ing direction i mplicit technique and is applied toYee’s cell to solve Maxwell’s equations[2,3].Thisscheme is unconditionally stable and is not dissipa-tive.Therefore,the ti …     

Polynomial dynamic programming algorithms for lot sizing models with bounded inventory and stockout and/or backlogging

This paper addresses a dynamic lot sizing problem with bounded inventory and stockout where both no backlogging and backlogging allowed cases are considered. The stockout option means that there is outsourcing in a period only when the inventory level at that period is non-positive. The production capacity is unlimited and production cost functions are linear but with fixed charges. The problem is that of satisfying all demands in the planning horizon at minimal total cost. We show that the no backlogging case can be solved in ) O(T ²) time with general concave inventory holding and outsourcing cost functions where T is the length of the planning horizon. The complexity can be reduced to O(T) when the inventory holding cost functions are also linear and have some realistic properties, even if the outsourcing cost functions remain general concave functions. When the inventory holding and outsourcing cost functions are linear, the backlogging case can be solved in O(T ³logT) time whether the outsourcing level at each period is bounded by the sum of the demand of that period and backlogging level from previous periods, or only by the demand of that period.     

Pricing and inventory control strategy for a periodic-review energy buy-back system

Along with the rapid development of economics and enhancement of industrialization, the power demand keeps rising and frequently creates mismatch between demand and supply in electricity. This provides miscellaneous energy buy-back programs with great opportunities. Such programs, when activated, offer certain amount of financial compensations to participants for reducing their energy consumption during peak time. They aim at encouraging participants to shift their electricity usage from peak to non-peak time, and thereby release the demand pressure during peak time. This paper considers a periodic-review joint pricing and inventory decision model under an energy buy-back program over finite planning horizons, in which the compensation levels, setup cost and additive random demand function are incorporated. The objective is to maximize a manufacturer’s expected total profit. By using Veinott’s conditions, it is shown that the manufacturer’s optimal decision is a state dependent (s, S, P) policy under a peak market condition, or partly an (s, S, A, P) policy under the normal market condition.     

Using Soft Systems Methodology to Fight Against Info-Exclusion: The Experience of a Brazilian University

The aim of this paper is to apply a systemic methodology to analyse the concept of info-inclusion which can guide strategic actions of institutions within civil society and within several levels of government. The paper provides a plan of action that, integrated with other tools, aims at fighting the technological and social gap. We apply Soft System Methodology (SSM), because it provides a holistic approach to info-exclusion. SSM is often used to analyse and resolve problems in complex social studies such as info-exclusion. An info-exclusion reduction project, developed by a university in the country region of Sao Paulo will be provided as a case study. This project is one of the several Brazilian initiatives to solve the problem of limited access to information technology tools. We start by contextualising info-exclusion in Brazil and follow with a review of SSM. We then introduce the concept of info-inclusion and apply SSM to it. We end with a discussion of the results obtained and with some suggestions for action and possible improvements.