基于谱估计方法的船舶纵向运动建模预报研究

根据船舶在随机海浪作用下运动姿态的潜周期性,基于谱估计方法对海浪扰动下的船舶纵摇运动进行建模预报研究。首先分析了船舶纵向运动的随机性和潜周期性。介绍了基于谱估计的建模原理,提出了平滑周期图算法。最后对船舶纵向运动预报进行仿真研究。根据仿真结果及误差分析可知摹于谱估计方法的船舶纵摇运动建模预报是可行的。     

Attention-from-motion: A factorization approach for detecting attention objects in motion

This paper introduces the notion of attention-from-motion in which the objective is to identify, from an image sequence, only those object in motions that capture visual attention (VA). Following the important concept in film production, viz, the tracking shot, we define the attention object in motion (AOM) as those that are tracked by the camera. Three components are proposed to form an attention-from-motion framework: (i) a new factorization form of the measurement matrix to describe dynamic geometry of moving object observed by moving camera; (ii) determination of single AOM based on the analysis of certain structure on the motion matrix; (iii) an iterative framework for detecting multiple AOMs. The proposed analysis of structure from factorization enables the detection of AOMs even when only partial data is available due to occlusion and over-segmentation. Without recovering the motion of either object or camera, the proposed method can detect AOM robustly from any combination of camera motion and object motion and even for degenerate motion.     

基于阻抗控制的动态装配过程仿真研究

机器人化装配是一个复杂的动力学过程,在高速装配时不可避免地会对工件造成 损伤.为了寻求解决该问题的有效方法,根据采用阻抗控制方法推导出的装配过程的动力 学方程,提出了一种采用径向基函数网络(RBFN)来学习装配过程动力学的渐进学习机制和 通过梯度下降法调整阻抗参数的强化学习算法.数值仿真结果证明了该方法的有效性和渐 进学习的优越性.     

具有不确定未知界的相似组合系统的鲁棒分散输出控制

讨论了不确定相似组合系统的鲁棒分散输出控制问题.不确定项存在于子系统内部 及各子系统的互联项中,可以是非线性或时变的,且满足匹配条件,它们是有界的,但界是未 知的.文中所得控制器保证受控系统按指数收敛于系统的平衡点或以平衡点为中心的最终吸 引子.     

混合H2/H∞控制问题的降阶控制器

1 引言 考虑np广义被控对象z0 z1 y=P(δ)w u=AC0 C1 C2 B1 B2D01 0 D11 D12 D21 0 w u, (1) 其中 ABCD ∶=C(δI-A)-1B+D,δ在连续和离散情形分别表示拉氏变换算子s,Z－变换算子z,x∈Rnp,y∈Rny,w∈Rnw,u∈Rnu分别为广义对象、量测、外部输入和控制变量.z0∈Rnz0,z1∈Rnz1分别为与H2,H∞指标相关的控制输出信号.所谓混合H2/H∞控制是指：设计控制器K,使得Tz0w2极小,且Tz1w∞<1.其中Tziw(δ)是从w到zi的闭环传传递函数(i=0,1).其意义在于可使系统在具有稳定性和鲁棒性的前提下,保持良好的性能.     

全数字通用飞行仿真平台的设计与实现

针对作战训练并验证先进飞行控制律,设计一种全数字通用飞行仿真平台。介绍该平台的总体结构,在建立飞机动力学模型和通用飞行仿真数据库的基础上,阐述各模块的功能和创建方法,以某型无人机为例,对平台进行仿真验证。结果表明,该平台直观性强,输出参数准确,能较好地模拟真实飞行。     

基于多Agent系统的细菌群体趋药性算法研究

针对细菌群体趋药性(Bacterial Colony Chemotaxis,BCC)算法由于过度依赖群体交互而容易陷入局部最优解的缺陷,结合多Agent系统(Multi-Agent System,MAS)的主要特征构造一种全新算法——基于多Agent的细菌群体趋药性(MABCC)算法。该算法通过每个细菌Agent相互之间的竞争与协作,弱化其对群体信息的依赖,使其能够更精确地收敛到全局最优解。对不同函数优化试例的仿真表明该算法比BCC算法有更好的全局寻优性能。     

The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research

This paper has developed and evaluated the implementation of an adapted Markov Chain modelling heuristic and simulation framework in the context of transportation research. In order to gain insight into the travel patterns of individuals and in the decision making that people use to make transport mode decisions, a new methodology is presented in this paper to extract knowledge from data. The presented approach shows two ways to store the sequential information (sequences of activities and travel) that is typically incorporated in activity diary data. The approach is novel, especially with respect to store information in ‘codebooks’, a term which is introduced to reflect that the information which is kept, represents the combinations of activities that typically sequentially occur in a persons' diary.In order to test the validity of the heuristic, new data is simulated and compared with the original observed data. The new data is generated by means of Monte Carlo simulation and the empirically derived information from the codebooks is used as a constraint in the simulations. In order to make a mature evaluation of the simulated diaries, different performance indicators were considered by using pattern-, trip- and activity-level measures. It is shown in the paper that the results are satisfactory and that the framework that was developed holds out considerable promise; both for gaining behavioural decision making insights and for simulating activity diary data that can assist practitioners and researchers in the calibration of travel demand models.     

热轧双相钢组织细化工艺的研究

在实验室通过热轧实验,研究了热轧双相钢在奥氏体再结晶区和未再结晶区变形和卷取温度对高强热轧双相钢组织细化和力学性能的影响.通过研究可以发现,变形对组织细化有一定的作用,但是卷取温度和化学成分对组织细化、马氏体体积分数以及力学性能也有比较大的影响.在实验室条件下,通过合理控制变形工艺参数,可以使热轧双相钢的屈服强度达到450MPa、抗拉强度在750MPa以上,并且伸长率在21%左右.     

基于中、低能射线的K值判别法煤矸在线识别仪的研究

】介绍了中、低能γ射线在煤和矸石中的透射原理,建立了以煤和矸石的质量吸收系数比率Ｋ为判别依据的煤矸在线识别模型,并对其在应用中存在的若干问题进行了讨论。