State feedback design for uncertain linear systems with D-stability constraints

In this paper a robust control design for uncertain linear system is proposed. The design conditions are formulated as LMIs and assure a regional pole placement on the controlled system. The design is developed using a parameter dependent matrix and the LMI conditions are obtained via a matrix dilation strategy. The effectiveness of the proposed result is illustrated through numerical comparisons with previous results from the literature.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.10.111
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

State feedback design for uncertain linear systems with D-stability constraints

Edvaldo Assunção, Flávio A. Faria, Rodrigo Cardim, Marcelo Carvalho Minhoto Teixeira et al.
IFAC-PapersOnLine
Stability and Control of Uncertain Systems
article

State feedback design for uncertain linear systems with D-stability constraints

Edvaldo Assunção, Flávio A. Faria, Rodrigo Cardim, Marcelo Carvalho Minhoto Teixeira, Uiliam Nelson Lendzion Tomaz Alves, Dante J. S. Oncoy, Hugo Fernando Yamanaka, Virgílio V. Prado
article en

Abstract

In this paper a robust control design for uncertain linear system is proposed. The design conditions are formulated as LMIs and assure a regional pole placement on the controlled system. The design is developed using a parameter dependent matrix and the LMI conditions are obtained via a matrix dilation strategy. The effectiveness of the proposed result is illustrated through numerical comparisons with previous results from the literature.

IFAC-PapersOnLineVol. 59(16)
Instituto Federal do Paraná (BR), Universidade Estadual Paulista (Unesp) (BR)
Openalex Percentile: Top 60%
Stability and Control of Uncertain Systems
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State feedback design for uncertain linear systems with D-stability constraints — Edvaldo Assunção, Flávio A. Faria, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS