Equation-error closed-loop system identification using cyclic spectral analysis

C. Tontiruttananon, Jitendra Tugnait
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引用次数: 1

Abstract

The problem of closed-loop system identification given noisy input-output measurements is considered. The closed-loop system operates under an external cyclostationary input which is not measured. Noisy measurements of the (direct) input and output of the plant are assumed to be available. The various disturbances affecting the system are either stationary or cyclostationary with cycle frequencies different from the input cycle frequencies. The closed-loop system must be stable but it is allowed to be unstable in open-loop. A frequency-domain parametric solution is proposed and analyzed using an equation error formulation, and cyclic spectrum and cross-spectrum of the input-output measurements. The parameter estimator is shown to be consistent. A simulation example using an unstable open-loop system is presented to illustrate the proposed approach.
基于循环谱分析的方程误差闭环系统辨识
考虑了给定噪声输入输出量的闭环系统辨识问题。闭环系统在一个不被测量的外部循环平稳输入下运行。假设工厂的(直接)输入和输出的噪声测量是可用的。影响系统的各种扰动要么是平稳的,要么是周期频率不同于输入周期频率的环平稳的。闭环系统必须是稳定的,但开环系统允许不稳定。提出了一种频域参数解,并利用方程误差公式和输入输出测量的循环频谱和交叉频谱对其进行了分析。参数估计是一致的。最后给出了一个不稳定开环系统的仿真实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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