Parameter Recovery from Tangential Interpolations for Systems with an LFT Structure
Tong Zhou, Yubing Li

TL;DR
This paper presents a method for recovering parameters of LFT-structured systems from transfer function values and derivatives, providing necessary and sufficient conditions for uniqueness and demonstrating robustness through numerical examples.
Contribution
It introduces a new parameter recovery technique for LFT-structured systems using transfer function derivatives, with explicit conditions for uniqueness and solution methods.
Findings
Unique parameter recovery conditions derived
Method's robustness demonstrated through numerical example
Derivative information improves recovery accuracy
Abstract
This paper investigates how to recover parameters of a linear time invariant system from values and derivatives of its transfer function matrix, along several particular directions at a prescribed set of points in the complex plane, in which system matrices depend on these parameters through a linear fractional transformation. A necessary and sufficient condition is derived for a unique determination of these system parameters, which is expressed by a vector inequality. Under some particular situations, this condition reduces to a full column rank requirement on a constant matrix. Moreover, a method is given to recover system parameters from these values and derivatives, which is expressed by a vector linear equation with some rank constraints, for which various methods exist for finding its solutions. Robustness of the suggested recovery method is also clarified. A numerical example is…
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Taxonomy
TopicsControl Systems and Identification · Matrix Theory and Algorithms · Advanced Control Systems Design
