Adaptive joint tracking of nonstationary system unknown parameters including the time delay

R. Pupeikis
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引用次数: 1

Abstract

The problem of joint parameters and time delay estimation or their tracking by processing of input-output observations arises, when LTI dynamical system has an unknown time delay. It is known that a mean-square error function is multiextremal for time delay even if the system parameters are known in advance. For this purpose an approach used to transform the multiextremal criterion into an unimodal function, in respect of the time delay, is developed and analyzed. Afterwards, it is possible to estimate unknown parameters and the time delay recursively by processing in each recursion pairs of input-output observation samples. The recursive approach based on the method of corrective operators is developed for the nonstationary dynamical systems with different excitations and additive noises, having the rational spectrum. Applicability of algorithms is supported by various simulation tests on a computer.
非平稳系统未知参数含时滞的自适应联合跟踪
当LTI动力系统具有未知的时滞时,出现了联合参数和时滞估计或通过输入-输出观测处理跟踪的问题。已知在系统参数事先已知的情况下,均方误差函数对于时滞也是多极值的。为此,提出并分析了一种将多极值判据转化为关于时滞的单峰函数的方法。然后,通过对每一对递归的输入输出观测样本进行处理,可以递归估计未知参数和时延。针对具有有理谱的具有不同激励和加性噪声的非平稳动力系统,提出了基于修正算子方法的递推方法。在计算机上进行的各种模拟测试支持了算法的适用性。
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