基于模糊理论的舰船航迹控制器

着重介绍如何从航向控制的模糊规则扩展到航迹控制的模糊规则 ,并应用此模糊控制规则实现对舰船航迹的控制 .仿真表明 ,在此模糊控制器的控制下 ,船舶转向动态性能、航迹保持精度、抗干扰性能以及船舶参数发生变化时的鲁棒性均明显优于 PID控制器     

装备经济性分析中的结构制造复杂度参数建模

参数估算法是当前装备经济性分析的主要方法,TruePlanning软件为国际主流的装备经济性分析软件。基于TruePlanning软件,以制造复杂度(Manufacturing Complexity)为研究对象,通过对TrueH模块进行深度剖析,分析并确立了结构制造复杂度(Manufacturing Complexity for Structure)的建模思路和模型形式。通过一个实例分析,选取5个必要的输入参数,构建结构制造复杂度的初步模型,并进一步考虑附加参数的输入,对模型进行修正。结果显示了结构制造复杂度对各技术参数的不同响应形式和敏感程度,为开发国产费用估算模型提供了可行的思路。     

Deterministic and stochastic scheduling with teamwork tasks

We study a class of new scheduling problems which involve types of teamwork tasks. Each teamwork task consists of several components, and requires a team of processors to complete, with each team member to process a particular component of the task. Once the processor completes its work on the task, it will be available immediately to work on the next task regardless of whether the other components of the last task have been completed or not. Thus, the processors in a team neither have to start, nor have to finish, at the same time as they process a task. A task is completed only when all of its components have been processed. The problem is to find an optimal schedule to process all tasks, under a given objective measure. We consider both deterministic and stochastic models. For the deterministic model, we find that the optimal schedule exhibits the pattern that all processors must adopt the same sequence to process the tasks, even under a general objective function GC = F(f₁(C₁), f₂(C₂), … , f_n(C_n)), where f_i(C_i) is a general, nondecreasing function of the completion time C_i of task i. We show that the optimal sequence to minimize the maximum cost MC = max f_i(C_i) can be derived by a simple rule if there exists an order f₁(t) ≤ … ≤ f_n(t) for all t between the functions {f_i(t)}. We further show that the optimal sequence to minimize the total cost TC = ∑ f_i(C_i) can be constructed by a dynamic programming algorithm. For the stochastic model, we study three optimization criteria: (A) almost sure minimization; (B) stochastic ordering; and (C) expected cost minimization. For criterion (A), we show that the results for the corresponding deterministic model can be easily generalized. However, stochastic problems with criteria (B) and (C) become quite difficult. Conditions under which the optimal solutions can be found for these two criteria are derived. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

康特洛维奇的数值方法在矩形薄板横向弯曲振动中的应用

本文提出的解决矩形薄板弯曲振动问题的康特洛维奇的数值方法,大大减少了所需要的计算机内存。通过算例表明它具有比较高的计算精度和计算速度,是一种有前途的计算方法。     

恒电量微扰法研究在含Cl-介质Ce3+对航空铝材的缓蚀作用

本文用恒电量微扰法研究了Ce3+对铝合金在0．1mol·L-1NaCl介质中的缓蚀机理及抗孔蚀性。结果表明：铝合金孔蚀诱导过程及其表面形成林转化膜过程具有相同的电化学模式,电化学腐蚀速度控制步骤取决于钝化膜（转化膜）／溶液界面过程。Ce3+对铝合金孔蚀的诱导期和发展期均有抑制作用,形成铈转化膜后,铝基表面阻抗大大提高,耐孔蚀性增强。     

A stochastic machine maintenance and sale problem: Results with different production functions

In this article we solve and analyze a stochastic version of the Boiteux problem by employing the stochastic optimal control method. Our setup is close to that of Thompson [22]. Our focus is to analyze, under the same structure, how different production functions and how the variance in machine deterioration/maintenance affect our optimal machine maintenance and sale date decisions. © 1993 John Wiley & Sons, Inc.     

Allocation of quality improvement targets based on investments in learning

Purchased materials often account for more than 50% of a manufacturer's product nonconformance cost. A common strategy for reducing such costs is to allocate periodic quality improvement targets to suppliers of such materials. Improvement target allocations are often accomplished via ad hoc methods such as prescribing a fixed, across‐the‐board percentage improvement for all suppliers, which, however, may not be the most effective or efficient approach for allocating improvement targets. We propose a formal modeling and optimization approach for assessing quality improvement targets for suppliers, based on process variance reduction. In our models, a manufacturer has multiple product performance measures that are linear functions of a common set of design variables (factors), each of which is an output from an independent supplier's process. We assume that a manufacturer's quality improvement is a result of reductions in supplier process variances, obtained through learning and experience, which require appropriate investments by both the manufacturer and suppliers. Three learning investment (cost) models for achieving a given learning rate are used to determine the allocations that minimize expected costs for both the supplier and manufacturer and to assess the sensitivity of investment in learning on the allocation of quality improvement targets. Solutions for determining optimal learning rates, and concomitant quality improvement targets are derived for each learning investment function. We also account for the risk that a supplier may not achieve a targeted learning rate for quality improvements. An extensive computational study is conducted to investigate the differences between optimal variance allocations and a fixed percentage allocation. These differences are examined with respect to (i) variance improvement targets and (ii) total expected cost. For certain types of learning investment models, the results suggest that orders of magnitude differences in variance allocations and expected total costs occur between optimal allocations and those arrived at via the commonly used rule of fixed percentage allocations. However, for learning investments characterized by a quadratic function, there is surprisingly close agreement with an “across‐the‐board” allocation of 20% quality improvement targets. © John Wiley & Sons, Inc. Naval Research Logistics 48: 684–709, 2001     

领导机关应转变"抓基层"的思维方法

基层是我军战斗力组成的基本单位,领导机关在如何抓好基层建设上要更新观念,做到七个方面的转变,以切实提高基层战斗力.     

陀螺/星敏感器组合技术在卫星姿态确定系统中的应用

为了满足军用卫星姿态测量高精度的需要,提出了基于状态估计法的陀螺仪和星敏感器组成的卫星姿态测量系统的方案.应用广义卡尔曼进行状态估计,同时为了避免由非线性和小角度引起的计算误差,采用四元数法代替通常的欧拉角法进行计算,经分析得到该系统状态模型和观测模型.通过仿真证明,此方案能达到高精度军用卫星姿态确定系统的要求.     

Revenue management under randomly evolving economic conditions

We consider a dynamic pricing model in which the instantaneous rate of the demand arrival process is dependent on not only the current price charged by the concerned firm, but also the present state of the world. While reflecting the current economic condition, the state evolves in a Markovian fashion. This model represents the real‐life situation in which the sales season is relatively long compared to the fast pace at which the outside environment changes. We establish the value of being better informed on the state of the world. When reasonable monotonicity conditions are met, we show that better present economic conditions will lead to higher prices. Our computational study is partially calibrated with real data. It demonstrates that the benefit of heeding varying economic conditions is on par with the value of embracing randomness in the demand process. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 66:73–89,2019