大规模伤亡事件应对流程的前摄性调度优化

以死亡人数最少化为目标,研究大规模伤亡事件应对流程的前摄性调度优化问题。首先,使用伤情等级和伤情随机转化的马尔可夫链,建立伤员死亡概率与伤员处置时间的函数关系。随后,将研究问题转化为柔性作业车间静态调度问题,并设计遗传算法求解。最后用一个随机算例对算法进行仿真,结果表明：该算法可行有效;与现有研究中救援时间最短化的调度方法相比,伴随着可接受的救援时间跨度增加,该方法可大幅降低救援过程中的死亡人数。本文研究有助于决策者优化应急救援过程,有效减少死亡人员数量。     

动态联合库存的决策模型及算法

考虑生产商、销售商联合库存的动态优化问题,建立的随机需求下生产-销售运作系统的排队模型,得到了系统的稳态概率分布和队长分布.以成本最小化为目标,模型算法找到了最优的运作策略和机器使用数量.数值模拟的结果表明,依赖于指定机器数量的动态调整策略明显优于静态系统.     

Modelling and control of flexible joint robot based on Takagi–Sugeno fuzzy approach and its stability analysis via sum of squares

This article proposes a Takagi–Sugeno (T-S) fuzzy model of single-link rotary flexible joint robot. The proposed control method is based on parallel distributed control. The parameters of T-S controller are improved by distributed population genetic algorithm (GA) with chaos GA. Using Hermite–Biehler theorem in distributed population, GA is made to have a fast convergence. Dividing search space into several sub-spaces causes a better response, and chaos disturbance helps the whole algorithm to reach a best answer. The stability of the controller is analysed via the sum of squares programming, and finally, it is implemented on the plant.     

A transformed random effects model with applications

This paper proposes a transformed random effects model for analyzing non-normal panel data where both the response and (some of) the covariates are subject to transformations for inducing flexible functional form, normality, homoscedasticity, and simple model structure. We develop a maximum likelihood procedure for model estimation and inference, along with a computational device which makes the estimation procedure feasible in cases of large panels. We provide model specification tests that take into account the fact that parameter values for error components cannot be negative. We illustrate the model and methods with two applications: state production and wage distribution. The empirical results strongly favor the new model to the standard ones where either linear or log-linear functional form is employed. Monte Carlo simulation shows that maximum likelihood inference is quite robust against mild departure from normality. Copyright © 2009 John Wiley & Sons, Ltd.     

Optimal vibration control of flexible spacecraft during a minimum-time maneuver

This paper is concerned with the simultaneous maneuver and vibration control of a flexible spacecraft. The problem is solved by means of a perturbation approach whereby the slewing of the spacecraft regarded as rigid represents the zero-order problem and the control of vibration, as well as of perturbations from the rigid-body maneuver, represents the first-order problem. The zero-order control is to be carried out in minimum time, which implies bang-bang control. On the other hand, the first-order control is a time-dependent linear quadratic regulator including integral feedback and prescribed convergence rate.This research was sponsored by USAF/ASD and AFOSR Research Grant F33615-86-C-3233 monitored by Drs. A. K. Amos and V. B. Venkayya, whose support is greatly appreciated.     

Optimum design of vibrating cantilevers: A classical probem revisited

Optimum design of vibrating cantilevers is a classical problem widely used in the literature and textbooks in structural optimization. The problem, originally formulated and solved by Karihalloo and Niordson (Ref. 5), was to find the optimal beam shape that will maximize the fundamental vibration frequency of a cantilever. Upon reexamination of the problem, it has been found that the original analysis and solution procedure can be simplified and improved substantially. Specifically, the time-consuming inner loop devised for solving the Lagrange multiplier in the original work has been proved to be tolally unnecessary and thus should not be considered in the problem solution. This conclusion has led to a new set of simplified equations for the construction of iteration schemes. New asymptotic expressions for the optimum design solution have been obtained and verified by numerical results. Numerical analysis has shown a significant improvement in convergence rate by the proposed new procedure. Also some obvious numerical errors in the original paper have been identified and corrected.This work was suppoted in part by the University of Arizona Foundation and the Office of the Vice President for Research. The author is grateful to the reviewers for their valuable comments.     

弹性激励制度中各种激励方式的交互分析

弹性激励制度让员工自行选择所需的激励方式。本通过交互分析，现实模拟员工的选择行为，确定各种属性在员工选择激励方式时的相对重要性；根据员工对属性水平的喜好，对员工进行激励偏好细分；确定最受员工欢迎的激励方式组合。本所运用的方法和结果能帮助企业制定出最合适的弹性激励制度。     

柔性系统力学中的主要课题

本文对多刚体系统力学的研究结果进行简要的小结,介绍了柔性系统的力学模型以及该领域中的主要研究课题.     

六面体单元柔性桁架结构模型与逆模型的辨识

介绍了用自适应LMS滤波器离线辨识六面体单元柔性结构模型和逆模型的方法。文中论述了自适应滤波理论和自适应逆控制之间的关系，讨论了LMS算法，并以实验法测得的六面体单元柔性结构随机振动数据为基础对其模型和逆模型进行了辨识，为进一步开展该结构的自适应逆控制研究奠定了基础。     

DISTRIBUTION OF RANDOM ELEMENTS SUBJECTED TO A FLEXIBLE BOUNDARY CONDITION

The probability distribution function of n random elements subjected to the flexible boundary condition is derived. The probability density is a descending curve and converges to a delta function as n tends to infinity. The distribution of the minimum value is discussed in context of ordered statistics.