简化UKF算法在SINS／GPS组合导航中的应用

针对SINS／GPS组合导航系统的特点,建立了系统的非线性误差模型。根据系统状态方程为非线性而观测方程为线性的特点,将一种简化的UKF方法（Rao-Blackwellisation Additive Unscented Kalman Filter,RBAUKF）用于SINS／GPS组合导航系统中,RBAUKF采用较少的采样点数目和简化的更新算法,降低了计算复杂度。最后,在机动条件下,进行了SINS／GPS组合导航实验仿真。仿真结果表明,RBAUKF相比EKF具有更高的滤波精度,更适合在SINS／GPS组合导航系统中应用。     

三类边界条件下隔水套管涡激非线性振动的比较分析

考虑流及波流联合作用,研究了套管的涡激非线性振动.将套管简化为梁模型,考虑3类不同的边界条件,计及莫里森非线性流体动力和涡激荷载,建立套管的涡激振动方程.应用克雷洛夫函数求解套管的固有频率和模态,采用了计算涡激非线性动力响应的迦辽金方法.以东海勘探3号钻井隔水套管为例,研究了不同边界条件下流引起的主共振和波流联合引起的组合共振.计算结果表明：流对套管的动力响应占主导地位,而波的影响不大.分析了3类不同边界条件下隔水套管的涡激非线性动力响应,揭示了波流联合激励下套管复杂的动力响应特性.     

Two-dimensional numerical simulation and experiment on strongly nonlinear wave–body interactions

A constrained interpolation profile (CIP)-based Cartesian grid method for strongly nonlinear wave–body interaction problems is presented and validated by a newly designed experiment, which is performed in a two-dimensional wave channel. In the experiment, a floating body that has a rectangular section shape is used. A superstructure is installed on the deck and a small floating-body freeboard is adopted in order to easily obtain water-on-deck phenomena. A forced oscillation test in heave and a wave–body interaction test are carried out. The numerical simulation is performed by the CIP-based Cartesian grid method, which is described in this paper. The CIP scheme is applied in the Cartesian grid-based flow solver. New improvements of the method include an interface-capturing method that applies the tangent of hyperbola for interface capturing (THINC) scheme and a virtual particle method for the floating body. The efficiency of the THINC scheme is shown by a dam-breaking computation. Numerical simulations on the experimental problem for both the forced oscillation test and the wave–body interaction test are carried out, and the results are compared to the measurements. All of the comparisons are reasonably good. It is shown, based on the numerical examples, that the present CIP-based Cartesian grid method is an accurate and efficient method for predicting strongly nonlinear wave–body interactions.     

公路水泥混凝土路面基层顶面当量回弹模量非线性计算公式归一化的研究

鉴于1994年和2002年水泥混凝土路面设计规范中,基层顶面当量回弹模量确定过程存在的繁琐性,有必要通过回归分析,对2002年规范所提供的六个计算公式加以简化。实践表明,该简化能够满足计算要求并取得满意的效果。     

关联时滞大系统的保性能控制

针对关联项具有N×N个任意未知常时滞的线性连续大系统,采用线性矩阵不等式(LMIs)方法,提出了一种分散的无记忆状态反馈二次保性能控制器的存在条件和设计方法.最后用一个示例说明分散无记忆状态反馈二次保性能控制器的设计方法.     

基于指数函数非线性反馈的船舶航向保持控制

为研究船舶航向保持控制问题,本文以“育鹏”轮为研究对象,建立了其非线性Nomoto船舶模型,设计了基于闭环增益成形算法的指数函数非线性反馈控制器,并以“育鹏”轮的非线性模型为被控制对象,用Matlab的Simulink工具箱进行系统仿真研究。系统仿真结果表明,建立的非线性Nomoto数学模型精度良好,设计的控制器进行船舶航向保持控制时效果优异,并且更节能。使用这种方法设计的控制器,可以很好地进行船舶航向保持控制,对今后的船舶运动仿真和控制器的设计具有重要意义。     

Innovative strategies for urban car-sharing systems and a simulator to assess their performance

In this paper, three innovative car-sharing systems for urban areas are proposed, based on fleets of individual intelligent vehicles with three service characteristics: instant access, open-ended reservations and one-way trips. These features provide high flexibility but create an uneven distribution of vehicles among stations. Therefore, relocation of vehicles must be performed. Three different system procedures are proposed: in the first system, relocations are performed by users; in the other two, vehicles relocate automatically, thanks to their automation. In the first two systems, vehicles are accessible only at stations, whereas in the third they are also accessible along roads. In order to provide transport managers with a tool to test systems in different realities, an object-oriented simulator is developed. The simulation provides outputs of system performance, in terms of user waiting times and system efficiency. The proposed systems are simulated for the city of Genoa, in Italy, and a comparative analysis is presented.     

An integrated framework for embedding large-scale dynamic traffic assignment models in advanced traveler information systems

In recent years, increasing attention has been drawn to the development of various applications of intelligent transportation systems (ITS), which are credited with the amelioration of traffic conditions in urban and regional environments. Advanced traveler information systems (ATIS) constitute an important element of ITS by providing potential travelers with information on the network's current performance both en-route and pre-trip. In order to tackle the complexity of such systems, derived from the difficulty of providing real-time estimations of current as well as forecasts of future traffic conditions, a series of models and algorithms have been initiated. This paper proposes the development of an integrated framework for real-time ATIS and presents its application on a large-scale network, that of Thessaloniki, Greece, concluding with a discussion on development and implementation challenges as well as on the advantages and limitations of such an effort.     

未知时变扰动和输入饱和下的智能船舶鲁棒非线性控制

复杂海况下环境多变并且船舶具有多耦合、强非线性的特点,针对智能船舶定位控制问题,考虑在未知时变扰动和输入饱和约束之下船舶的定位控制问题,结合非线性扰动观测器提出一种带辅助动态系统的鲁棒非线性控制算法。通过Lyapunov理论证明了所提出的非线性扰动观测器与控制器结合后闭环系统的稳定性和信号的一致最终有界性。利用非线性扰动观测器对环境中存在的海浪扰动进行有效的估计处理。最后,通过仿真验证了所提出的控制算法不仅能保证船舶期望的位置和艏向,而且提高了控制速度,具有较好的控制性能。     

Asynchronous n-step Q-learning adaptive traffic signal control

Ensuring transportation systems are efficient is a priority for modern society. Intersection traffic signal control can be modeled as a sequential decision-making problem. To learn how to make the best decisions, we apply reinforcement learning techniques with function approximation to train an adaptive traffic signal controller. We use the asynchronous n-step Q-learning algorithm with a two hidden layer artificial neural network as our reinforcement learning agent. A dynamic, stochastic rush hour simulation is developed to test the agent’s performance. Compared against traditional loop detector actuated and linear Q-learning traffic signal control methods, our reinforcement learning model develops a superior control policy, reducing mean total delay by up 40% without compromising throughput. However, we find our proposed model slightly increases delay for left turning vehicles compared to the actuated controller, as a consequence of the reward function, highlighting the need for an appropriate reward function which truly develops the desired policy.