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An Optimal Choice of Characteristic Polynomial Roots for Pole Placement Control Design

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Abstract

The problem of finding the arrangement of closed-loop control system poles that minimizes an objective function is considered. The system optimality criterion is the value of the H norm of the frequency transfer function relative to the disturbance with constraints imposed on the system pole placement and the values of the H norm of the sensitivity function and the transfer function from measurement noise to control. An optimization problem is formulated as follows: the vector of variables consists of the characteristic polynomial roots of the closed loop system with the admissible values restricted to a given pole placement region; in addition to the optimality criterion, the objective function includes penalty elements for other constraints. It is proposed to use a logarithmic scale for the moduli of the characteristic polynomial roots as elements of the vector of variables. The multi-extremality problem of the objective function is solved using the multiple start procedure. A coordinate descent modification with a pair of coordinates varied simultaneously is used for search.

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Funding

The research presented in Sections 2 and 3 was supported by the Russian Science Foundation (project no. 23-29-00588, https://rscf.ru/en/project/23-29-00588/).

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Correspondence to V. A. Alexandrov.

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This paper was recommended for publication by P.S. Shcherbakov, a member of the Editorial Board

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Alexandrov, V.A. An Optimal Choice of Characteristic Polynomial Roots for Pole Placement Control Design. Autom Remote Control 85, 411–421 (2024). https://doi.org/10.1134/S0005117924050023

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