A parametric approach for l1 robust identification

Shuning Wang; Jianshe Dai; Masahiro Tanaka

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A parametric approach for l1 robust identification

机译：用于l1鲁棒识别的参数方法

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摘要

A convergent algorithm for l1 robust identification of a stable rational transfer function with known order is proposed, which is implemented by solving a linear programming problem and can produce a rational transfer function with a fixed order. An explicit upper bound on its worst case identification error is given. Its performance is proven to be close to that of an interpolation algorithm if a high-order Galois sequence is taken as the input signal

机译：提出了一种求解已知顺序的稳定有理传递函数的l1鲁棒辨识的收敛算法，该算法通过求解线性规划问题来实现，并且可以产生固定阶数的有理传递函数。给出了最坏情况识别错误的明确上限。如果将高阶Galois序列用作输入信号，则其性能已证明接近插值算法。

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《IEEE Transactions on Automatic Control》 |1999年第6期|p.1282-1286|共5页
作者
Shuning Wang; Jianshe Dai; Masahiro Tanaka;
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正文语种 eng
中图分类自动化系统;
关键词
convergence of numerical methods; identification; interpolation; linear programming; transfer functions; Galois sequence; convergence; identification; interpolation; linear programming; rational transfer function; robust identification; upper bound;

机译：数值方法的收敛性识别插值线性规划传递函数加洛瓦序列收敛识别插值线性规划有理传递函数稳健辨识上限;

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A parametric approach for l1 robust identification

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