Abstract

A convergent algorithm for l/sub 1/ 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.

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