基础设施融资PPP模式的风险分配原则及分配方法

综合考虑投资和风险因素，提出合理的风险分配原则和线性规划的风险分配方法，帮助公共部门和私人组织更好地理解和承担风险，使PPP模式充分发挥公私合作的优势。     

Handling stability improvement through robust active front steering and active differential control

The design of the integrated active front steering and active differential control for handling improvement of road vehicles is undertaken. The controller design algorithm is based on the solution of a set of linear matrix inequalities that guarantee robustness against a number of vehicle parameters such as speed, cornering and braking stiffnesses. Vehicle plane dynamics are first expressed in the generic linear parameter-varying form, where the above-stated parameters are treated as interval uncertainties. Then, static-state feedback controllers ensuring robust performance against changing road conditions are designed. In a first series of simulations, the performance of the integrated controller is evaluated for a fishhook manoeuvre for different values of road adhesion coefficient. Then, the controller is tested for an emergency braking manoeuvre executed on a split-μ road. In all cases, it is shown that static-state feedback controllers designed by the proposed method can achieve remarkable road handling performance compared with uncontrolled vehicles.     

FPGA技术在汽车电子中的应用

现场可编程门阵列（FPGA）技术具有自定义逻辑功能和高可靠性的特点，工程师已将FPGA技术融人测试系统，解决汽车电子设计与测试的困难，同时满足低成本、系统可扩展性和复杂的测试环境要求。本文将探讨FPGA相关技术在汽车电子中的应用。     

Rear-heavy car control by adaptive linear optimal preview

Adaptive linear optimal preview control theory is applied to a simple but non-linear car model, with parameters chosen to make the rear axle saturate first in any quasi-steady manoeuvre. The tendency of such a car to spin above a critical speed, which is a function of its running state, causes control to be especially difficult when operating near to the limit of the rear-axle force system. As in previous work, trim states and optimal gains are computed off-line for a given speed and a full range of lateral accelerations. Gain-scheduling with interpolation over trims and gain sets is used to keep the control appropriate to the running conditions, as they change. Simulations of manoeuvres are used to test and demonstrate the system capability. It is shown that utilising the rear-axle lateral-slip ratio as the scheduling variable, in the case of this rear-heavy car, gives excellent tracking, even when the tyres are run close to full saturation. It is implied by this and previous work that the general case can be treated effectively by monitoring both front- and rear-axle slips and scheduling on a worst-case basis.     

Longitudinal force distribution using quadratically constrained linear programming

In this paper, a new method is presented for the optimisation of force distribution for combined traction/braking and cornering. In order to provide a general, simple and flexible problem formulation, the optimisation is addressed as a quadratically constrained linear programming (QCLP) problem. Apart from fast numerical solutions, different driveline configurations can be included in the QCLP problem in a very straightforward fashion. The optimisation of the distribution of the individual wheel forces using the quasi-steady-state assumption is known to be useful for the study of the influence of particular driveline configurations on the combined lateral and longitudinal grip envelope of a particular vehicle–driveline configuration. The addition of the QCLP problem formulation makes another powerful tool available to the vehicle dynamics analyst to perform such studies.     

自动驾驶环境下面向交叉口自由转向车道的交通控制模型

在未来自动驾驶环境下，自动驾驶车辆之间能相互配合、相互穿插地通过交叉口，而无需信号灯控制。因此，有必要研究新一代的能保障自动驾驶车辆安全高效通行的交叉口控制模型。已有控制模型可分为基于交叉口空间离散的控制模型和基于交叉口冲突点分析的控制模型，目前主要存在控制方式和模型非线性等方面的不足。建立了基于混合整数线性规划（MILP）的自动驾驶交叉口控制（Autonomous Intersection Control，AIC）模型，设计交叉口自由转向车道，允许交叉口所有进口道都能"左直右"通行，将交叉口空间离散为等距网格并建立网格坐标方程，考虑车辆在交叉口内部的行驶轨迹，建立车辆轨迹的上边界和下边界方程，确定行驶轨迹压过的交叉口网格，并建立网格被车辆路径占用的时间方程，使用同一网格同一时间只能被一台车辆占用的冲突点约束保障交叉口安全通行。模型以所有车辆通过交叉口的总延误最低为目标函数，通过将约束条件线性化处理，使用AMPL （A Mathematical Programming Language）并调用Gurobi数学规划优化器对模型进行求解。最后对模型效益进行了案例分析。结果表明：所提模型能有效处理自由转向车道的交通流到达模式，对比已有模型经常采用的先到先服务控制策略，该模型能整体优化车辆通行方案，降低车均延误50.51%，降低最大车辆延误29.12%，同时交叉口空间利用率提高了66.17%。     

热处理件调质工艺CAPP软件系统的开发

为了提高热处理件调质工艺的设计质量与设计效率,实现零件工艺卡片存档的计算机化管理,开发了其CAPP软件系统。使用本软件可代替人工编制柱状、套状、锥状、板状以及阶梯轴类零件的调质工艺,并由计算机管理存档工艺卡片及调质工艺基础数据库。     

综合运输体系下铁路客运市场的优化策略模型及算法

分析在多种运输方式存在情况下乘客的交通选择行为,基于随机用户平衡理论构造了综合运输条件下的交通方式分离模型。在此基础上,同时考虑乘客和客运管理部门两方面的利益,构造一个双层规划模型来描述多种运输方式存在情况下铁路客运市场优化问题,并给出求解算法。最后通过北京到天津的实例,分析在不同条件和目标下,客运管理部门应采取的相应策略。     

TKCAD程序系统局部分析子系统的模型研究及程序实现

研制了铁路客车TKCAD系统的专用有限元分析子系统REFEA。该系统具有完善的模型化的特点,在有限元分析过程中,能自动进行模型分析、计算和结果评价,有助于提高优化设计的质量和结构的完善性。     

B—凸规划及其最优性条件

通过给出Ｂ－凸规划的定义并研究它的基本性质，得到Ｂ－凸规划的最优性条件。