LCD灰阶响应时间自动测量系统开发

灰阶响应时间需要测试不同灰阶之间切换需要的时间,这样测试的数据量非常大,仅仅靠手动测试已经很难完成该测试;需要自动化的测量方法才能完成;对LCD的灰阶响应时间自动测量进行了研究,用综合测试仪(DMS)与FPGA系统结合的方案完成灰阶响应时间的自动测量,可以快速准确的测试灰阶响应时间;采用这个方案可以在无需额外购买测试设备的情况下几分钟内测试一组灰阶响应时间,测试基准采用DMS设备,所以测试的准确率高;该自动测试方案对于LCD灰阶响应时间的测量和研究具有很强的实用价值.     

一种改进式TAC的高精度时间间隔测量系统的实现

设计了一种基于改进式时间-幅度转换器(Time-Amplitude Converter, TAC)的高精度时间间隔测量系统。该系统采用集成运放设计TAC中的电流可控的恒流源,并对TAC内部的积分控制部分加入宽带直流放大电路,来提高时间间隔测量的精确度;采用高精度的模数转换器采样TAC的输出,实现高精度时间间隔测量中的模拟到数字的转换;采用现场可编程逻辑门阵列(Field Programmable Gate Array, FPGA)完成系统软件设计,实现对TAC的控制。通过变换TAC的采样电阻的阻值,使恒流源输出不同的电流对电容进行充电,从而使TAC的输出电压满足高精度模数转换器(Analog-Digital Converter,ADC)采集电压的要求。实验表明,在测量时间范围为1us,800ns,400ns,200ns时,该系统的时间间隔测量的最小时间精度为400皮秒。     

一种飞行试验FC航电系统的采集网络时延测试方法

针对飞行试验FC总线测试的特点,文章提出了一种飞行试验FC航电系统的采集网络时延测试方法,在不影响原航电系统信息传输结构与特性的前提下,测试到通信消息从航电子系统端口发出的精准时刻,解决了航电FC采集网络时延测试难题;通过对某试验机的FC采集网络时间延迟测试,提高了飞行试验某航电子系统的试验计算精度,证明了该方法在工程中的有效性。     

金融数据时间序列相似性度量的应用研究

从应用角度对时间序列数据挖掘中的关键技术一相似性度量一进行了研究。实现了对时间序列的分段线性表示,并将其用于当前主要的几种时间序列距离度量算法。通过将各距离度量算法用于股票收盘数据分析实验,得出实验数据。通过对实验结果的分析并结合各算法的原理,对各方法的适用情况和执行效率进行了分析及比较。通过分析可知,每种算法有自己的特点及适用情况。对于实际应用,应根据实际需求选择合适的距离度量算法。     

Discrete‐time output feedback for Markov jump systems with uncertain transition probabilities

This article addresses the output feedback control for discrete‐time Markov jump linear systems. With fully known transition probability, sufficient conditions for an internal model based controller design are obtained. For the case where the transition probabilities are uncertain and belong to a convex polytope with known vertices, we provide a sufficient LMI condition that guarantees the norm of the closed‐loop system is below a prescribed level. That condition can be improved through an iterative procedure. Additionally, we are able to deal with the case of cluster availability of the Markov mode, provided that some system matrices do not vary within a given cluster, an assumption that is suitable to deal with packet dropout models for networked control systems. A numerical example shows the applicability of the design and compares it with previous results. Copyright © 2012 John Wiley & Sons, Ltd.     

Stability of a class of switched positive linear time‐delay systems

This paper addresses the problem of stability for a class of switched positive linear time‐delay systems. As first attempt, the Lyapunov–Krasovskii functional is extended to the multiple co‐positive type Lyapunov–Krasovskii functional for the stability analysis of the switched positive linear systems with constant time delay. A sufficient stability criterion is proposed for the underlying system under average dwell time switching. Subsequently, the stability result for system under arbitrary switching is presented by reducing multiple co‐positive type Lyapunov–Krasovskii functional to the common co‐positive type Lyapunov–Krasovskii functional. A numerical example is given to show the potential of the proposed techniques. Copyright © 2012 John Wiley & Sons, Ltd.     

Signal-adaptive discrete evolutionary transform as a sparse time–frequency representation

Discrete evolutionary transform (DET) has usually been applied to signals in a blind-way without using any parameters to characterize the signal. For this reason, it is not optimal and needs improvement by using some information about the signal. In this paper, we propose an improvement for the discrete evolutionary transform in order to obtain a sparse representation and redefine the generalized time-bandwidth product optimal short-time Fourier transform as a special case of it. In case of linear FM-type signals, the optimized kernel function of the transform is determined according to signal parameters including the instantaneous frequency. The performance of the adaptive-DET is illustrated on three distinct cases. In case of multi-component LFM signals, when the concentration of the proposed distribution is compared to the ordinary sinusoidal-DET, the improvement is computed as 28% in terms of the ratio of norms. Furthermore we define a new and a general class of distribution functions named as the short-time generalized discrete Fourier transform (ST-GDFT) which is a larger set of signal representations including the adaptive-DET.     

Adaptive detection of range-spread targets without secondary data in multichannel autoregressive process

Adaptive detection of range-spread targets without secondary data is addressed in a multichannel autoregressive Gaussian disturbance with unknown space–time covariance matrix, by utilizing the Rao test. The proposed Rao test without secondary data is theoretically proved to be asymptotically (large-sample in the number of temporal observations) constant false alarm rate with respect to unknown space–time covariance matrix, thanks to an asymptotic equivalence between the Rao test and the generalized likelihood ratio test. Moreover, the performance loss due to no secondary data can be remedied by appropriately increasing the temporal dimension. The performance assessment conducted by Monte Carlo simulation, also in comparison with the existing detector without secondary data, confirms the effectiveness of the proposed detectors.     

Dynamic behavior of the discrete‐time double integrator with saturated locally stabilizing linear state feedback laws

The main contribution of this paper is to completely characterize the dynamic behavior of the discrete‐time double integrator with a saturated locally stabilizing linear state feedback law. In continuous‐time setting, any linear state feedback control law that locally stabilizes the double integrator also globally stabilizes the system in the presence of actuator saturation. In discrete‐time setting, the equivalent of the double integrator does not have the same property. In this paper, we completely characterize the global behavior of saturated locally stabilizing linear state feedback laws for the discrete‐time double integrator. Copyright © 2012 John Wiley & Sons, Ltd.     

Stochastic stability and robust stabilization of semi‐Markov jump linear systems

The semi‐Markov jump linear system (S‐MJLS) is more general than the Markov jump linear system (MJLS) in modeling some practical systems. Unlike the constant transition rates in the MJLS, the transition rates of the S‐MJLS are time varying. This paper focuses on the robust stochastic stability condition and the robust control design problem for the S‐MJLS with norm‐bounded uncertainties. The infinitesimal generator for the constructed Lyapunov function is first derived. Numerically solvable sufficient conditions for the stochastic stability of S‐MJLSs are then established in terms of linear matrix inequalities. To reduce the conservativeness of the stability conditions, we propose to incorporate the upper and lower bounds of the transition rate and meanwhile apply a new partition scheme. The robust state feedback controller is accordingly developed. Simulation studies and comparisons demonstrate the effectiveness and advantages of the proposed methods. Copyright © 2012 John Wiley & Sons, Ltd.