Real-Time Update of Sequence Placement Logic for High Arch Dams Based on Evidence Weight Discount

Sequence placement logic plays a significant role in construction simulation of high arch dams and directly affects the simulation process and results.To establish a sequence logic for dam block placement,the construction scheme,real-time construction process,and random factors of the site all need to be considered in detail.There are few studies available currently that take all these factors into consideration.To address this problem,a real-time update of sequence placement logic for high arch dams based on evidence weight discount is proposed in this study.First,the subjective weight of the dam block sequence priority criteria is built using a consistent matrix method based on the construction scheme.Second,using evidence theory,dynamic objective weight of the priority criteria and basic probability assignment is built.Finally,using a weight self-adaptive adjustment method and comprehensive evidence discounting,the placing probabilities of different dam blocks are obtained.A case study indicates that this method can realize realtime update of sequence placement logic.

Restoring force correction based on online discrete tangent stiffness estimation method for real-time hybrid simulation

In real-time hybrid simulation（RTHS）, it is difficult if not impossible to completely erase the error in restoring force due to actuator response delay using existing displacement-based compensation methods. This paper proposes a new force correction method based on online discrete tangent stiffness estimation（online DTSE） to provide accurate online estimation of the instantaneous stiffness of the physical substructure. Following the discrete curve parameter recognition theory, the online DTSE method estimates the instantaneous stiffness mainly through adaptively building a fuzzy segment with the latest measurements, constructing several strict bounding lines of the segment and calculating the slope of the strict bounding lines, which significantly improves the calculation efficiency and accuracy for the instantaneous stiffness estimation. The results of both computational simulation and real-time hybrid simulation show that：（1） the online DTSE method has high calculation efficiency, of which the relatively short computation time will not interrupt RTHS; and（2） the online DTSE method provides better estimation for the instantaneous stiffness, compared with other existing estimation methods. Due to the quick and accurate estimation of instantaneous stiffness, the online DTSE method therefore provides a promising technique to correct restoring forces in RTHS.

Brief review: management of lupus nephritis–randomized controlled trials: an update

Lupus nephritis leads to significant morbidity and mortality in patients with systemic lupus erythematous. Immunosuppressive agents are recommended in management of Class III, IV and V lupus nephritis. The goals of therapy are to control the disease and to prevent relapse while minimizing side-effects of therapy. Most of the evidences in managements of Class III and IV lupus nephritis comes from randomized controlled trials using intravenous cyclophosphamides, oral mycophenolate mofetil and oral azathioprine. In Class V lupus nephritis, there are few studies available and they have assessed the use of intravenous cyclophsophamide, oral mycophenolates mofetil and oral cyclosporine. In this review article, we have summarized the major randomized controlled trials in managements of Class III, IV and V lupus nephritis and offer an interpretation of the evidence to date.

无铁氧体同步磁阻电机的最大转矩电流比控制

针对同步磁阻电机控制中因电感变化带来的系统稳定性及可靠性问题,提出一种基于离线电感参数更新的同步磁阻电机最大转矩电流比控制方法。首先设计了无铁氧体同步磁阻电机的最大转矩电流比控制方法,其次通过实验获得全工况下d、q电感参数生成离线电感参数表,并将其引入控制算法中,实现d、q轴电感的实时更新。实验结果表明,传统的最大转矩电流比算法引入实时更新的电感值后,能够快速响应由电流变化所引起的电感变化,及时调整系统控制参数,相较于传统的最大转矩电流比控制方法具有更快的动态响应能力和更小的稳态误差,提高了系统的稳定性和可靠性。

Online Induction of Probabilistic Real-Time Automata

The probabilistic real-time automaton （PRTA） is a representation of dynamic processes arising in the sciences and industry. Currently, the induction of automata is divided into two steps： the creation of the prefix tree acceptor （PTA） and the merge procedure based on clustering of the states. These two steps can be very time intensive when a PRTA is to be induced for massive or even unbounded datasets. The latter one can be efficiently processed, as there exist scalable online clustering algorithms. However, the creation of the PTA still can be very time consuming. To overcome this problem, we propose a genuine online PRTA induction approach that incorporates new instances by first collapsing them and then using a maximum frequent pattern based clustering. The approach is tested against a predefined synthetic automaton and real world datasets, for which the approach is scalable and stable. Moreover, we present a broad evaluation on a real world disease group dataset that shows the applicability of such a model to the analysis of medical processes.

工频感应炉温度控制系统的仿真研究

针对某铜业公司立式感应炉内铜液温度过高,不能实时测得其温度,无法直接反馈构成闭环控制回路的问题,提出一种基于参数辨识的铜芯温度软测量控制方案,利用所建模型的输出作为铜芯的估计温度,即可实现炉内铜芯温度的闭环控制。由于炉料和炉体工况的变化会引起实际模型参数发生变化,故需在线更新模型参数。仿真结果表明该方案合理可行。

一种多层次概念数据库的构造方法

多层次概念数据库是一种新的数据库组织技术，用于合作式查询、数据库浏览、查询优化等方面．论述了多层次概念数据库的框架结构、构造方法和快速实现算法．在用户提供概念层次作为背景知识的前提下，采用改进的属性归纳法提高了关系概括的速度．

基于改进电压模型的感应电机无速度传感器矢量控制

磁链和转速信息直接影响矢量控制的动态特性。基于传统电压模型,设计了一种改进的磁链观测器和转速估算方案。利用低通滤波器替代积分器,消除了积分环节对磁链观测的不利影响;利用磁链参考值补偿观测误差,保证磁链观测的准确性。为消除测量噪声和随机扰动的影响,引入同步角频率的误差校正项和滤波环节,通过滑差迭代更新的方式保证参数估算的准确性。仿真和DSP电机对拖试验平台验证了改进方案的有效性。

PARAMETER ESTIMATION METHODOLOGY FOR NONLINEAR SYSTEMS:APPLICATION TO INDUCTION MOTOR

This paper deals with on-line state and parameter estimation of a reasonably large class of nonlinear continuous-time systems using a step-by-step sliding mode observer approach. The method proposed can also be used for adaptation to parameters that vary with time. The other interesting feature of the method is that it is easily implementable in real-time. The efficiency of this technique is demonstrated via the on-line estimation of the electrical parameters and rotor flux of an induction motor. This application is based on the standard model of the induction motor expressed in rotor coordinates with the stator current and voltage as well as the rotor speed assumed to be measurable. Real-time implementation results are then reported and the ability of the algorithm to rapidly estimate the motor parameters is demonstrated. These results show the robustness of this approach with respect to measurement noise, discretization effects, parameter uncertainties and modeling inaccuracies. Comparisons between the results obtained and those of the classical recursive least square algorithm are also presented. The real-time implementation results show that the proposed algorithm gives better performance than the recursive least square method in terms of the convergence rate and the robustness with respect to measurement noise.

演绎、归纳与溯因——从信息哲学的观点看

推理实质上是认知信息的更新方式。从信息哲学的角度,可以为演绎、归纳与溯因等三种推理方式划定界限。除了可能世界语义学,使用邻域模型也可以为认知信息的更新构造模型。有两种更新方式:交集模型和子集模型。利用交集模型可以对演绎推理作出信息论的解释。归纳推理的结论是带强度的信念。子集模型可以对科学发现的过程作出解释,从而区分演绎、归纳和溯因。邻域语义学揭示的两种信息更新方式是不同的,这是信息更新的逻辑动态学方面的新发现。

Edge-cloud collaborative intelligent production scheduling based on digital twin

With the application of various information technologies in smart manufacturing,new intelligent production mode puts forward higher demands for real-time and robustness of production scheduling.For the production scheduling problem in large-scale manufacturing environment,digital twin(DT)places high demand on data processing capability of the terminals.It requires both global prediction and real-time response abilities.In order to solve the above problem,a DT-based edge-cloud collaborative intelligent production scheduling(DTECCS)system was proposed,and the scheduling model and method were introduced.DT-based edge-cloud collaboration(ECC)can predict the production capacity of each workshop,reassemble customer orders,optimize the allocation of global manufacturing resources in the cloud,and carry out distributed scheduling on the edge-side to improve scheduling and tasks processing efficiency.In the production process,the DTECCS system adjusts scheduling strategies in real-time,responding to changes in production conditions and order fluctuations.Finally,simulation results show the effectiveness of DTECCS system.