滞后广义系统的渐近稳定与镇定

广义系统的渐近稳定与镇定问题是广义系统理论的基本问题之一,在许多领域均有应用,时滞广义系统的研究与无时滞广义系统相比要困难得多。利用广义Lyapunov泛函方法研究了具滞后的广义系统的渐近稳定性和镇定问题,给出了渐近稳定判定定理,设计了适当的反馈律,以实现滞后广义系统的镇定,方法简单,直观,易于理解,给出的例子说明了该定理的可行性。     

一种VOP生成技术的研究与实现

视频对象平面(Video Object Plane,VOP)的生成是基于对象的编码技术以及基于图像内容的操作的基础。提出了以对象运动特征,在2D+T三维空间进行图像分割的VOP生成技术,特别是在摄像机运动的动态场景中,以全局运动估计技术补偿摄像机的运动,同时以边缘图像与差分图像进行匹配,克服对象高速运动时背景的遮拦与显露造成的影响,准确地生成VOP图像。针对真实场景的实际处理结果表明该算法是成功的。     

2型模糊集对率模系统可靠性分析的推广

鉴于2型模糊集对于模糊现象的描述更为深刻的特点,将系统的模糊成功和模糊故障用2型模糊集表示,引入模糊随机变量等数学工具对率模系统可靠性进行了分析,得到了率模可靠度,率模寿命,率模故障率等结论,推广了文献［1］的结果     

基于信号重构的一种系统仿真方法

本文根据信号重构的思想，提出了一种系统仿真方法。该方法是对时域矩阵仿真方法的扩展，即保留了时域矩阵方法快速性的特点，又提高了仿真精度。文中还对该方法的截断误差做出了估计，并证明了该方法的收敛性。最后，通过仿真例子说明了该方法的有效性。     

化工过程培训仿真器的新型软件构造模式与C＋＋实现

本文提出了一类基于微机网络的化工过程仿真培训器的软件构造模式及用面向对象的Ｃ＋＋语言的实施方法。在提出的仿真器中：（１）过程按工艺流程切割为若干个独立的部分，分别建模，并在不同的学员操作站（下位机）运行，而过程间的物料、能量及信息耦合由下位机间的通讯实现；（２）根据下位机上运行的具体模型，配备相应的操作画面，形成一个相对独立的操作岗位；（３）教师指令台（上位机）仅承提对中个操作站的监控职能，如冻结、评分、引发事故等。由于该类仿真器中模型被分解为小规模的模块分散独立运行，过程数学模型和学员操作环境合二为一，极大地减少了通讯数量，显著地改进了仿真器的可靠性和运行速度，增强了微机对大型过程细微仿真的适应性     

石油化工过程中控制与联锁自保系统的仿真

本文介绍了石油化工过程中控制与联锁自保系统的仿真模型的建立方法，并附以相应程序。     

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.     

An Evolutionary Real-Time 3D Route Planner for Aircraft

Abstract: A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candi-dates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By usingproblem-specific chromosome structure and genetic operators, the routes are generated in real time, with different missionconstraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving an-gle and route distance constraint taken into account.     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

Wireless Location Determination for Mobile Objects Based on GSM in Intelligent Transportation Systems

1 .INTRODUCTIONTheabilityofpositioningmobileobjects (MOs) ,in cludingvehiclesandtravelersholdingmobiletermi nals,isafundamentalfunctionforsomeITSsubsys tems,suchasemergencyrescue,securitysystem ,au tomaticnavigationsystem ,andtrafficinducementsystem[1 ] .Atpresent,therearethreedominatingtypes[2 ]ofwirelesspositioningtechnologies,i.e.positioningbasedonsatellites,positioningbasedondedicatedcommunicationsystemsandpositioningbasedonpub liclandwirelesstelecommunicationsystems (PLMTS) ,respe…