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Dynamic response of linear systems to random trains of non-overlapping pulses with arbitrary shapes

机译:线性系统与任意形状无重叠脉冲随机列车的动态响应

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The excitation considered is a train of non-overlapping pulses, defined as a train of alternate random pulse durations and time gaps between the consecutive pulses. As the time gaps are regarded as continuous random variables, hence the pulses are non-adjoining, i.e. they can only adjoin with probability zero. All durations are assumed to be characterized by one common probability distribution. Likewise, the time gaps are all identically distributed, but the probability distribution of the durations and of the time gaps are different. As the interarrival time is the sum of the duration and of the time gap, the arrival times of the pulses are driven by a renewal process. It is further assumed that the durations and time gaps are negative exponential distributed, with different parameters. Pulse shapes are given by an arbitrary, deterministic function and pulse heights are given by independent, identically distributed random variables. The mean value and autocorrelation function of the pulse train are evaluated analytically for "on" and "off' initial conditions and are found to be expressed in terms of the renewal densities pertinent to the renewal process driving the arrival times. It is shown that for rectangular pulses with equal, deterministic heights these expressions reduce to the ones obtained independently with the aid of another approach, where the mean value and autocorrelation function are given in terms of "on" probabilities (i.e. the probabilities of the pulse being on). The mean value and variance of the response of a linear oscillator are obtained via a time domain analysis. Illustrative numerical results are given for the train of pulses with both parabolic and rectangular pulse shapes.
机译:所考虑的激励是不重叠的脉冲序列,其定义为连续脉冲之间交替随机的脉冲持续时间和时间间隙的列车。随着时间的间隙被视为连续随机变量,因而脉冲是非邻接的,即,它们只能用概率零邻接。假设所有的持续时间由一个共同的概率分布的特征。同样地,时间间隙的所有同分布,但持续时间的和的时间间隙的概率分布是不同的。由于间隔时间是持续时间和时间间隔的总和,脉冲的到达时间由更新过程驱动。进一步假定是,持续时间和时间间隙是负指数分布的,使用不同的参数。脉冲形状由任意给定的,确定性函数和脉冲高度是由独立同分布的随机变量给出。脉冲串的平均值和自相关函数的分析评价为“开”和“关”的初始条件,并发现,在更新的密度有关的续订过程驱动的到达时间的方面来表示。它表明,对于矩形脉冲具有相等的,确定性的高度这些表达式减少到与另一种方法,其中所述平均值和自相关函数中的术语给出的援助独立获得的那些“上”的概率(即,在脉冲正对的概率)。该平均值和线性振荡器的响应的方差经由时域分析获得的。说明性的数值结果,给出了脉冲串与两个抛物面和矩形脉冲形状。

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