改性金属膜膜萃取萃铜速度影响因素考察

针对有机中空纤维膜材料在膜萃取过程中出现膜孔溶胀的问题,采用聚四氟乙烯涂敷在不锈钢纤维烧结膜表面制备一种有机／无机复合膜并用作膜萃取的支撑材料,在平板式膜器中进行萃铜研究．考察了影响铜的萃取及反萃过程传质速度的主要因素,包括料液浓度、水相及有机相流速等,并根据试验结果初步探讨了膜萃取过程传质阻力的分布情况,结果表明有机相边界层阻力大于水相边界层阻力．     

综合交通枢纽的虚拟组织协同管理模式研究

交通运输业是一个集多种运输方式于一体的综合运输系统。其中综合交通枢纽的规划与管理是一个重要环节,运用系统工程和管理理论来研究我国综合交通枢纽的作业过程、信息共享和多组织的Ａｇｅｎｔ代理管理模式等将有助于综合运输体系的形成。本文系统地绘出综合交通枢纽的管理与发展过程,提出综合枢纽的虚拟组织发展模式,为综合交通枢纽管理向有序化发展提供一种尝试。     

A new approach of available transfer capability incorporating wind generation

The approach of available transfer capability (denoted as ATC) incorporating wind generation has been paid very high attention since the development of wind generation. Based on the maximum function, this paper presents an ATC model. The characteristic of the new model is twofold. First, it considers wind turbines connected to power system and static security of power system simultaneously. Second, it is a system of semismooth equations and can be solved easily. By using the smoothing strategy, a smoothing Newton method is adopted for solving the proposed new ATC model. Numerical simulation results of the IEEE 30-bus and 118-bus system show that the new model and algorithm are feasible and effective. The impact of wind turbines connected to power system on ATC is also analyzed.     

H_∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller(S/C) and from controller to actuator(C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

Ho∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system (NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller (S/C) and from controller to actuator (C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

Chaos and Nonlinear Feedback Control of the Arch Micro-Electro-Mechanical System

This paper addresses a nonlinear feedback control problem for the chaotic arch microelectro- mechanical system with unknown parameters, immeasurable states and partial state-constraint subjected to the distributed electrostatic actuation. To reflect inherent properties and design controller, the phase diagrams, bifurcation diagram and Poincare section are presented to investigate the nonlinear dynamics. The authors employ a symmetric barrier Lyapunov function to prevent violation of constraint when the arch micro-electro-mechanical system faces some limits. An RBF neural network system integrating with an update law is adopted to estimate unknown function with arbitrarily small error. To eliminate chaotic oscillation, a neuro-adaptive backstepping control scheme fused with an extended state tracking differentiator and an observer is constructed to lower requirements on measured states and precise system model. Besides, introducing an extended state tracking differentiator avoids repeated derivative for the virtual control signal associated with conventional backstepping. Finally, simulation results are presented to illustrate feasibility of the proposed scheme.     

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。     

System deployment optimization in architecture design

Optimization of architecture design has recently drawn research interest. System deployment optimization （SDO） refers to the process of optimizing systems that are being deployed to activi- ties. This paper first formulates a mathematical model to theorize and operationalize the SDO problem and then identifies optimal so- lutions to solve the SDO problem. In the solutions, the success rate of the combat task is maximized, whereas the execution time of the task and the cost of changes in the system structure are mini- mized. The presented optimized algorithm generates an optimal solution without the need to check the entire search space. A novel method is finally proposed based on the combination of heuristic method and genetic algorithm （HGA）, as well as the combination of heuristic method and particle swarm optimization （HPSO）. Experi- ment results show that the HPSO method generates solutions faster than particle swarm optimization （PSO） and genetic algo- rithm （GA） in terms of execution time and performs more efficiently than the heuristic method in terms of determining the best solution.     

On Some Computational Problems in Local Fields

Journal of Systems Science and Complexity - Lattices in Euclidean spaces are important research objects in geometric number theory, and they have important applications in many areas, such as...     

通信电子战信号反演处理——I：概论

通信电子战信号处理迫切需要一个具有宏观指导意义的方法论。反演方法既是地球物理学中的基本处理方法,又是人类两大基本推理方法的一个子方法。讨论了反演方法及其理论的一般定义。指出在电子学与通信及其信号处理领域,将问题统一到信号反演的框架下,不仅有利于对处理方法的理论研究,而且有利于吸收那些在非电子学领域已经建立的反演方法及其理论。给出了关于通信电子战信号反演处理的定义,并提出其概念模型和目标参数。