基于改进型Smith预估器的超临界机组主汽温模糊控制系统

介绍了超临界机组主汽温采用燃水比调整和二级喷水减温调节的控制策略.针对超临界机组主汽温对象时变性、非线性、大迟延等特点,提出了一种改进型Smith预估器对主汽温对象惰性区特性进行预估补偿,并将模糊控制理论与经典控制理论结合形成了主汽温综合控制方案.通过现场实际采集的历史数据,对系统进行仿真分析,结果表明该方案可以很好地解决主汽温系统的非线性和滞后性问题.     

极点配置自校正预估PID控制器

对于时滞过程,本文提出了一种新的自校正预估 PID 控制器,它实现了极点配置和静态抗干扰性能,克服了文献[2]提出的自校正预估 PI 控制器和文献[5]提出的自校正预估 PID 控制器不能在线校正控制器参数的缺点.仿真例子说明了本文结果的有效性.     

General Data Analysis Supported SPC

The issue of autocorrelation in statistical process control (SPC) data has been and continues to be a much discussed and researched topic. In nearly all published studies and in SPC training modules, the predominate models for autocorrelation come from a class of time-series models known as autoregressive-integrated moving average (ARIMA) models. However, little attention is given to a variety of systematic patterns pervasive in SPC applications that are not adequately modeled by the ARIMA framework. In this paper, we suggest the need for an even broader perspective than defined by ARIMA models. Furthermore, we argue that effective SPC training not only requires attention to data analysis tools for modeling systematic patterns but also to tools for diagnostically checking the distributional assumptions of variable and attribute charts.     

一种收敛于全局无偏最优解的非线性自回归（NAR）预测

本文研究了基于Ｖｏｌｔｅｒｒａ级数展开的非线性自回归预测模型的参数估计问题，从线性自适应ＩＩＲ波滤输出误差算法的观点，研究ＮＡＲ模型的参数估计问题，利用平均收敛条件，提出一可收敛于全局无偏最优解的新算法，解决了一般的预测误差算法的有偏解问题。     

二维溃坝洪水波演进的数值模拟

采用基于MacCormack预测-校正技术的隐式数值格式求解控制水流运动的二维浅水方程，建立了模拟大坝瞬间全溃或局部溃倒所致的洪水演进过程数学模型．应用该模型对矩形明渠中缓、急流过渡的水面曲线进行了数值计算，并与理论解进行了比较。最后用该模型预测了矩形河道中大坝瞬间局部溃倒时下游有多个障碍物的洪水演进过程，算例说明该数学模型对模拟溃坝洪水波很有效。     

An iterative multistep formula for solving initial value problems

The iterative multistep method (IMS) introduced by Hyman (1978) for solving initial value problems in ordinary differential equations has the advantage of being able to offer a higher degree of accuracy than the Runge-Kutta formulas by continuing the iteration process. In this article, another IMS formula is developed based on the geometric means predictor-corrector formulas introduced by Sanugi and Evans (1989). A numerical example is provided that shows that this formula can be used as a competitive alternative to Hyman's IMS formula.     

关于布朗运动过程的最佳非线性预测

本文将研究非线性预测理论中的一些问题。首先,取标准布朗运动过程X(t)为基础过程,然后用满足一定条件的Borel可测函数f,把X(t)进行变换而得到新的随机过程f(X(t))。这样,实际能够观测到的过程就是形如Y(t)=f(X(t))的随机过程。本文的主要目的就是,利用观测值Y(f),r≤t来求Y(t+τ)、τ>0的最佳非线性预测量Y(t,τ)。其次,取带漂移布朗运动过程为基础过程,而后用如上的方法作出新的随机过程。从而,讨论怎样求这种过程的最佳非线性预测量问题。     

Peer nominations on leadership as a predictor of the pass-fail criterion in naval air training.

After three months of pre-flight training, nine sections of cadets (N=268) were asked to nominate the three best-qualified and the three least qualified for military leadership in their sections. The leadership scores, ACE Test scores, Officer-Like-Qualities grade assigned by officers in charge, and final overall pre-flight average were correlated with a pass-fail criterion of flight training. The leadership score and the final pre-flight average were about equally predictive of the criterion (r of .27 and .28, respectively). The other two measures failed to correlate significantly with the criterion. A rationale for the predictive value of peer ratings for flight training success is suggested. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Estimating the number of different selection decisions resulting from the use of alternate predictor composites.

A method was described whereby d, the number of different selection decisions resulting from the use of alternate predictor composites may be rapidly estimated from the proportion of applicants accepted and the correlation between the composites. It was further demonstrated that the correlation between 2 optimally weighted composites based upon m and n variables (m n) is equal to the ratio of the 2 multiple correlations. 2 examples were used to illustrate the use of d in evaluating selection strategies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Supporting multi-user real-time VBR video service using dynamic bandwidth management based on prediction

Real-time variable bit rate (VBR) video is expected to take a significant portion of multimedia applications. However, plentiful challenges to VBR video service provision have been raised for its characteristic of high traffic abruptness. To support multi-user real-time VBR video transmission with high bandwidth utilization and satisfied quality of service (QoS), this article proposes a practical dynamic bandwidth management scheme. This scheme forecasts future media rate of VBR video by employing time-domain adaptive linear predictor and using media delivery index (MDI) as both QoS measurement and complementary management reference. In addition, to support multi-user application, an adjustment priorities classified strategy is also put forward. Finally, a test-bed based on this management scheme is established. The experimental results demonstrate that the scheme proposed in this article is efficient with bandwidth utilization increased by 20%-60% compared to a fixed service rate and QoS guaranteed.