时变耦合对含相位阻尼J-C模型线性熵的影响

在腔场为相干态场,原子处于等概率叠加态的初始条件下,采用色散近似方法,研究了存在相位耗散且含与时间成正比变化的场-原子耦合的Jaynes-Cummings模型的线性熵演化特征.数值计算结果表明,与常系数耦合相比较,时变耦合不改变原子和腔场复合系统的线性熵的时间演化,但破坏原子线性熵及场线性熵的振荡周期性.在系统演化初期,时变耦合抑制并延迟原子和场相干性的丢失.耦合系数突变会显著提高子系统线性熵的振荡频率.     

直线电机地铁车辆如何降低制动磨耗

由于直线电机车辆的固有特性及某轨道交通线路的运营特点,实施电制动时,导致空气制动被迫频繁补充,造成制动磨耗件消耗较快。介绍了改造前、后制动闸片、制动盘及制动施加情况,并进行了经济分析。通过改善空气制动施加逻辑及更换新型号的闸片,制动磨耗量明显降低,可大幅降低运营成本。     

学院教职工付酬方案的最优化控制系统

利用线性优化理论和教学建模方法，对学院教职工最优化付酬方案进行了研究了最优化分配教职工报酬的控制模型，为主管部门提供了强有力的参考。     

Korovkin定理之推广

关于线性正算子收敛性方面的Ｋｏｒｏｖｋｉｎ定理是函数逼近论的著名定理，推广了一种连续函数和周期连续函数一致收敛的Ｋｏｒｏｖｋｉｎ定理，得到了更便于验证的判别条件。     

Non-fragile multi-objective static output feedback control of vehicle active suspension with time-delay

This paper presents an approach to design a delay-dependent non-fragile H_∞/L₂–L_∞ static output feedback (SOF) controller for active suspension with input time-delay. The control problem of quarter-car active suspension with actuator time-delay is formulated to a H_∞/L₂–L_∞ control problem. By employing a delay-dependent Lyapunov function, new existence conditions of delay-dependent non-fragile SOF H_∞ controller and L₂–L_∞ controller are derived, respectively, in terms of the feasibility of bilinear matrix inequalities (BMIs). Then, a procedure based on linear matrix inequality optimisation and a hybrid algorithm of the particle swarm optimisation and differential evolution is used to solve an optimisation problem with BMI constraints. Design and simulation results of non-fragile H_∞/L₂–L_∞ controller for active suspension show that the designed controller not only can achieve the optimal performance and stability of the closed-loop system in spite of the existence of the actuator time-delay, but also has significantly improved the non-fragility characteristics over controller perturbations.     

城市轨道交通高峰线路客流协同控制方法

在线路客流控制中，需同时考虑各个车站控流方案的可执行性与协同性. 采用 Fisher 最优分割法确定合理客流控制时段，基于此建立以乘客总等待时间最少和旅客周转量最大为目标的线路客流协同控制线性规划模型. 基于成都地铁2 号线AFC数据进行实验，针对协同控流与非协同控流方案，以及不同客流控制时段划分方案下的协同控流方案进行对比实验. 算例中：协同控流方案在旅客周转量下降约1.0%的情况下，乘客总等待时间减少约 56.7%；基于Fisher 最优分割法确定的时段划分方案中协同控流方案在乘客总等待时间方面最优，并具有很好的可执行性.     

磁浮车演示线上的直线感应电动机设计

阐述了直流感应电动机的基本原理，介绍了由西南交通大学研制的磁浮车演示线上的直线感应电动机的主要设计参数及特点，并对其试验结果加以分析。     

基于超高速AD9954的多模式信号的实现

通过对AD9954采用先进DDS技术性能特点的具体分析，利用其可编程幅度、频率、相位给出AD9954在高速调制信号系统中的应用方案，从而较方便容易地实现基于软件无线电技术的各种调制信号。     

Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models

Marine ecosystem models are becoming increasingly complex and sophisticated, and are being used to estimate the effects of future changes in the earth system with a view to informing important policy decisions. Despite their potential importance, far too little attention has been, and is generally, paid to model errors and the extent to which model outputs actually relate to real-world processes. With the increasing complexity of the models themselves comes an increasing complexity among model results. If we are to develop useful modelling tools for the marine environment we need to be able to understand and quantify the uncertainties inherent in the simulations. Analysing errors within highly multivariate model outputs, and relating them to even more complex and multivariate observational data, are not trivial tasks. Here we describe the application of a series of techniques, including a 2-stage self-organising map (SOM), non-parametric multivariate analysis, and error statistics, to a complex spatio-temporal model run for the period 1988–1989 in the Southern North Sea, coinciding with the North Sea Project which collected a wealth of observational data. We use model output, large spatio-temporally resolved data sets and a combination of methodologies (SOM, MDS, uncertainty metrics) to simplify the problem and to provide tractable information on model performance. The use of a SOM as a clustering tool allows us to simplify the dimensions of the problem while the use of MDS on independent data grouped according to the SOM classification allows us to validate the SOM. The combination of classification and uncertainty metrics allows us to pinpoint the variables and associated processes which require attention in each region. We recommend the use of this combination of techniques for simplifying complex comparisons of model outputs with real data, and analysis of error distributions.