Adaptive compensating method for Doppler frequency shift using LMS and phase estimation

The novel compensating method directly demodulates the signals without the carrier recovery processes, in which the carrier with original modulation frequency is used as the local coherent carrier. In this way, the phase offsets due to frequency shift are linear. Based on this premise, the  compensation processes are: firstly, the phase offsets between the base band neighbor-symbols after clock recovery are unbiasedly estimated among the reference symbols; then, the receiving signals symbols are adjusted by the phase estimation value; finally, the phase offsets after adjusting are compensated by the least mean squares (LMS) algorithm. In order to express the compensation processes and ability clearly, the quadrature phase shift keying (QPSK) modulation signals are regarded as examples for Matlab simulation. BER simulations are carried out using the Monte-Carlo method. The learning curves are obtained to study the algorithm’s convergence ability. The constellation figures are also simulated to observe the compensation results directly.     

Robust H∞ filtering for discrete-time systems with Markovian switching and time-delays

The robust H∞ filtering problem for uncertain discrete-time Markovian jump linear systems with modedependent time-delays is investigated. Attention is focused on designing a Markovian jump linear filter that ensures robust stochastic stability while achieving a prescribed H∞ performance level of the resulting filtering error system, for all admissible uncertainties. The key features of the approach include the introduction of a new type of stochastic Lyapunov functional and some free weighting matrix variables. Sufficient conditions for the solvability of this problem are obtained in terms of a set of linear matrix inequalities. Numerical examples are provided to demonstrate the reduced conservatism of the proposed approach.     

Portfolio Selection with Different Borrowing-Lending Rates: Utility Maximization Model based on Mean and VaR

This article investigates a portfolio selection problem with different borrowing–lending rates and with Value-at-Risk (VaR) as the measure of risk. The problem is formulated as a utility maximization model with a general utility function that is a function of only the mean and the VaR of portfolio return. Several properties of the efficient frontier of the mean-VaR model are first obtained and then used to give some existence conditions and characterizations of the optimal solution to the utility maximization model. Further, a solution method and a numerical algorithm for solving the optimal solution are proposed. Finally, a numerical example using the real data of Chinese stock market is given to show the validity and the practicability of these results.     

地理学与地理系统复杂性研究

地理系统是开放的复杂巨系统 ,复杂性特征明显。由于研究对象的复杂性和认识发展的局限性 ,地理科学一直被认为是没有突破描述为主的学科。正在兴起的复杂性科学 ,其解释能力已经引起人们的极大关注 ,运用复杂性理论和方法来处理地理问题可以提高地理学的科学性。在对复杂性科学进展进行简单回顾之后 ,对地理系统复杂性进行了适当概括 ,并对复杂性科学应用于地理领域予以展望 ,认为地理系统复杂性研究是复杂性研究的重要组成部分 ,也是一项方兴未艾的事业     

融合多元触觉和沉浸式视觉的可移植VR软件框架

多元触觉和沉浸式视觉反馈的时空一致性配准以及现有VR软件框架中硬件设备的接入便捷性问题,制约了医疗、商务、娱乐等不同行业中视触觉融合场景的快速开发。为解决这一难题,提出融合多元触觉和沉浸式视觉的可移植VR软件框架,根据视触觉反馈精度要求的不同设计了双层和三层架构兼顾视觉渲染、触觉渲染、硬件控制的不同需求。实验结果表明该框架具有支持视-触融合同步反馈、硬件平台可移植、图形场景开发简便和交互场景可快速替换等特点,能够满足不同领域的交互应用需求。     

自动化码头运输设备充电策略优化的仿真研究

随着自动化集装箱码头成为当今码头的发展趋势,AGV(automated guided vehicle) 作为自动化码头中使用最为广泛的水平运输工具,合理制定其充电策略至关重要。针对当前自动化集装箱码头中AGV充电策略的不足,提出一种以离线充电为主在线充电为辅的充电策略,并且针对在线充电站点位置选择问题提出一种利用热区图选择有效在线充电站点的快捷方法。在使用该种充电策略情况下,通过大量仿真实验得出在码头工作任务量不变的前提下可减少AGV数量配置的结果,说明自动化集装箱码头水平搬运效率得到提高,证明该充电策略具有有效性。     

多重约束下智慧仓储机器人配置仿真优化研究

针对智慧仓库的仓储机器人配置问题,构建了基于排队论的离散事件仿真模型,在保证系统可靠性和服务强度的前提下,考虑到故障对系统的影响,以距离成本、时间成本、空闲成本和购置成本所构成的总成本最小化为目标,提出了一种基于FlexSim平台的离散事件仿真优化方法。通过分析系统平均队长、订单平均逗留时间等指标,将直观化的系统瓶颈与运行实际数据相结合,求得系统成本最小的配置策略。结合实例,对算例中的智慧仓库机器人配置方案进行求解。结果表明,基于FlexSim平台的离散事件仿真寻优方法,能够求解仓储机器人配置的优化方案,并能保证模型方法的计算效率。     

自适应的无线融断网络路由算法研究

无线融断网络具有长延时、高动态拓扑、链路不稳定等特点,伴随着网络联接缺乏源端到目的端的持续性,为解决网络通信困难的问题,将多头绒泡菌的智能性和自适应性引入,提出一种自适应的无线融断网络路由算法。搭建无线融断网络模型,推导出链路容量的数学表达;设计下一跳节点的选择策略和最佳路由选择策略,实现在融断网络环境下的数据尽力投递。仿真实验表明,该算法能够在网络开销率较低的情况下,达到良好的数据投递,且平均延迟小。     

一种群决策中确定专家判断认真程度的方法

给出一种群决策中确定专家判断认真程度的方法。主要思路是通过提取专家判断矩阵的全部信息，确定专家意见的一致程度，从而确定专家判断的认真程度。最后给出一个典型的算例以说明该方法的可行性和有效性。