An integrated system for process planning and cost estimation in hole making

The process planning function plays a critical role not only in computer integrated manufacture, but also in the economics of batch manufacturing. This paper describes the development of a generic knowledge-based system for process planning and cost estimation in the hole making process. The main function of the system, besides estimating the cost of production, is to recommend appropriate processes, their sequence and their respective machining conditions in order to obtain the required product specifications. The system has been implemented in a manufacturing organisation. The results obtained have indicated that in addition to cost savings the system also preserves the consistency in planning and cost estimation.     

混合物临界温度的预测与关联

在用分子基元分数表示组成和关联混合物临界温度的基础上,进一步研究有机、无机和有机—无机混合物的临界温度估算方法,经208个物系1539个计算点验证,误差小于1.04％。     

原水浊度与混凝剂最佳投量的匹配

本文在试验的基础上。推导了原水浊度与混凝剂最佳投量之间的关系。得到了潭江水泵用碱式氯化铝作混凝剂时的最佳投量与浊度之间的半经验关系A=1.1C~(0.40)(mg/l)。     

船舶最小能量消耗的控制指标

本文介绍了一种船舶自动航行时,使推进能量消耗为最小的控制指标,它同目前存在的各种指标相比,具有一定的优点.     

广义逆的计算与最小二乘估计

给出了某些广义逆的计算方法,将这些结果应用于观测系统的参数估计,给出了系统无加权和加权最小二乘的最新估计结果,推广了[1]的工作,同时简化了[2]中求多个相容矩阵方程公共解的算法。     

具有未知系统偏差的自适应Kalman平滑器

提出一种有效的具有未知系统伯差的自适应Ｋａｌｍａｎ平滑器．应用状态空间方法和ＡＲＭＡ新息模型，基于白噪声估值器和输出预报器，给出线性离散定常系统自适应最优状态和偏差联合Ｋａｌｍａｕ平滑器，最后给出仿真实例．     

电无级变速器的内燃机最佳效率控制

通过对混合动力汽车电无级变速器传动机构原理分析,提出一种内燃机最佳效率控制策略。该策略主要是基于底层控制系统的硬件结构,根据上位机发送的指令对双机械端口电机的内转子进行转矩控制,实现内燃机最佳效率运行;对外转子进行转速控制,满足车辆运行需求。并且给出了该策略下转矩辨识的方法;同时给出在整车中车辆总成控制与双机械端口电机控制系统和其他系统配合关系。通过实验,验证了该控制策略可以实现内燃机最佳效率运行同时满足负载侧连续平滑调速的可行性。     

关于有限混合总体的抽样

本文讨论混合总体的抽样性质,该总体由有限几个子体按比例充分混合得到.采样的均值与方差得到研究。我们也讨论了在保证采样质量的前提下对每一子体的最优配额问题.     

Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.     

双线性系统参数估计中的泰勒级数方法

本文给出了一种利用泰勒级数估计双线性系统参数的方法。通过将输入输出进行泰勒级数展开,把原微分方程模型转化成一个代数方程,进而利用最小二乘原理得到参数的估值。