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Direct identification of the linear block in Wiener system

机译:在维纳系统中直接识别线性块

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摘要

In the paper, the linear component of the Wiener system is identified under poor knowledge about the static subsystem nonlinearity. Unlike most of other identification methods, the proposed approach allows to decompose the problem of the Wiener system identification into two simpler subproblems. The considered methodology is based on the observation that the impulse response of the dynamic subsystem is proportional to the multiple input single output mapping, directly related to the considered system. Although derivation of the method involves gradient and kernel least squares techniques, the resulting algorithm possesses explicit form and does not utilize any difficult computational procedures. The consistency of the method is proved, and sufficient conditions for algorithm's bandwidth selection are formulated. Practical aspects of the approach are discussed, and applicability of the method for small and moderate number of observations is examined numerically. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:在本文中,在对静态子系统非线性不了解的情况下,确定了Wiener系统的线性分量。与大多数其他识别方法不同,该方法允许将维纳系统识别问题分解为两个更简单的子问题。所考虑的方法基于以下观察结果:动态子系统的脉冲响应与直接与所考虑的系统相关的多输入单输出映射成比例。尽管该方法的推导涉及梯度和核最小二乘技术,但所得算法具有显式形式,并且不使用任何困难的计算过程。证明了该方法的一致性,为算法的带宽选择奠定了充分的条件。讨论了该方法的实际方面,并在数值上检查了该方法对少量和中等数量观测值的适用性。版权所有(c)2015 John Wiley&Sons,Ltd.

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