组合市场中消费者联盟形成及多方博弈的研究

关注电子商务的进一步发展,研究组合贸易中的消费者联盟形成及多方博弈问题.在给出一种多Agent中介系统控制的组合市场模型的基础上,使用群集分析方法对组合市场中大量消费者联盟形成过程的宏观动态特性进行仿真,通过数值仿真实验为组合市场中不同角色在贸易中所起的作用进行定量的分析,并为不同角色间的市场博弈提供定量分析的方法.     

Resilient predictive control for a class of uncertain time-delay systems

In practice, gain perturbations of controllers which are caused by actuator degradation and other reasons often lead to performance degradation. They are capable of violating the closed-loop stability. For a system with constrained inputs, the actual controllers might exceed their limits because of gain perturbations. By the reason, this article considers the problem of resilient predictive control for a class of uncertain time-delay systems. By describing the gain perturbation as a time-varying uncertainty, the sufficient conditions to ensure the closedloop stability and the input constraints are derived. Additionally, an approach to design the resilient predictive controllers is presented in terms of LMI. Finally, the simulation shows that the proposed approach is very effective.     

Adaptive control method for nonlinear time-delay processes

Two complex properties,varying time-delay and block-oriented nonlinearity,are very common in chemical engineering processes and not easy to be controlled by routine control methods.Aimed at these two complex properties,a novel adaptive control algorithm the basis of nonlinear OFS(orthonormal functional series) model is proposed.First,the hybrid model which combines OFS and Volterra series is introduced.Then,a stable state feedback strategy is used to construct a nonlinear adaptive control algorithm that can guarantee the closed-loop stability and can track the set point curve without steady-state errors.Finally,control simulations and experiments on a nonlinear process with varying time-delay are presented.A number of experimental results validate the efficiency and superiority of this algorithm.     

The self-organizing worm algorithm

A new multi-modal optimization algorithm called the self-organizing worm algorithm (SOWA) is presented for optimization of multi-modal functions.The main idea of this algorithm can be described as followsdisperse some worms equably in the domain;the worms exchange the information each other and creep toward the nearest high point;at last they will stop on the nearest high point.All peaks of multi-modal function can be found rapidly through studying and chasing among the worms.In contrast with the classical multi-modal optimization algorithms,SOWA is provided with a simple calculation,strong convergence,high precision,and does not need any prior knowledge.Several simulation experiments for SOWA are performed,and the complexity of SOWA is analyzed amply.The results show that SOWA is very effective in optimization of multi-modal functions.     

A FRAMEWORK FOR REAL-VALUED CIPHER SYSTEMS

Most cipher systems designed thus far are binary-valued or integer-valued cipher systems. Their security relies on the assumption that one-way functions exist. Though the existence of one-way functions has not been proved yet, most cryptographic researchers believe that one-way functions exist. In addition, many candidates for one-way functions have been proposed. Therefore, the key step for developing real-valued cipher systems is to define real one-way functions and to propose candidates for them. In this paper, based on computational complexity theory over the real field, we give two definitions of real one-way functions; one is for digital one-way functions and the other is for general one-way functions. Candidates for these two classes of one-way functions are also proposed. Moreover, we present two examples to demonstrate that the candidates for both digital one-way functions and general one-way functions can be applied to construct secure real-valued cipher systems.     

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.     

Method of adaptive PLL bandwidth adjustment without phase slipping

In a system based on the phase lock loop（PLL）, a trade-off must be made between the tracking precision and the dynamic performance if constant parameters are adopted. To overcome this drawback, a new method called no phase slipping adaptive bandwidth（NPS-AB） is proposed, which can adjust the loop bandwidth adaptively for different working conditions. As a result, both the tracking precision and the dynamic performance can be achieved concurrently. NPS-AB has two features to keep the loop stable： one is the capability of quick response to dynamics; the other is a series of additional constraints when the bandwidth is switched. Compared with other methods, there is no phase slipping during the adjustment process for NPS-AB. The phase integer ambiguity can be avoided and the phase value is kept valid. It is meaningful for carrier ranging systems. Simulation results show that NPS-AB can deal with sudden dynamics and keep the pseudo-range value stable in the entire dynamic process.     

快速消解加热法测定水中高锰酸盐指数

用HCA-10O标准消解器进行快速加热,控制加热时间,并设有风冷加水冷的冷凝回流,同时减小加药体积,快速消解加热测定了地表水的高锰酸盐指数,该方法缩短了实验时间,短时快速测定出高锰酸盐指数,确定了稀释倍数,避免了多次反复稀释,提高了工作效率,适应了日益繁重的水质监测工作要求.     

疏水冷面霜晶生长的有限扩散凝聚模型

为了深入了解霜晶的动态生长过程,以有限扩散凝聚模型为基础建立了疏水冷面霜晶二维生长模型．通过在表面上设置不同冰珠数量来模拟冷面不同疏水性能,无涂层金属表面则布满冰珠;采用粒子在网格节点上随机移动来描述水蒸气分子的运动,粒子沿各方向移动的概率相同．数值结果表明,霜晶动态生长的可视化结果与实验图像在形态上保持一致;树枝状霜晶具有分形特征,相应的分形维数为1．44～1．78,与实验值相近．疏水冷面霜晶生长缓慢且分布稀疏;采用疏水效果不好的冷面的结霜情况与金属表面相似．     

颗粒细胞上的配体NPPC及其受体NPR2维持小鼠卵母细胞减数分裂的阻滞

哺乳动物卵泡中的颗粒细胞维持了卵母细胞处于减数分裂阻滞状态,这可以防止它们过早成熟。研究发现,位于卵泡壁上的颗粒细胞表达C-型钠肽(NPPC)的信使RNA;而卵母细胞周围的卵丘细胞表达NPPC受体NPR2的信使RNA,这是一个鸟苷酸环化酶。细胞培养实验显示,NPPC可增加卵丘细胞和卵母细胞中cGMP的表达水平,抑制了减数分裂的恢复。Nppc或Npr2突变小鼠,减数分裂阻滞将在大多数卵泡中不能持续,减数分裂得以提早恢复。卵母细胞源旁分泌因子可促使卵丘细胞表达Npr2的信使RNA。上述结果表明,颗粒细胞上的配体NPPC及其卵丘细胞上的受体NPR2协同防止了减数分裂的过早成熟,这对于成熟和排卵的协调以及对于雌性生殖都至关重要。