Time-varying Bezout identity-based compensation for perturbed MIMO right coprime factorization feedback systems

In this paper, a time-varying Bezout Identity based MIMO systems design using right coprime factorization will be proposed, which contributes to compensating for unexpected perturbation. The algorithm is inspired by homogeneous property of operators, i.e., the dilation occurring in the input can be quantitatively reflected in the output, indicating a measurable relationship between the two. Hence, by designing proper homogeneous operators, the influence on output induced by perturbation could be regarded as a dilation of input, which could be calculated and used as feedback. Moreover, a time-varying Bezout Identity could be formulated given the obtained dilation, by which the perturbation could be compensated. Eventually, the effectiveness of proposed system design will be verified by simulation tests.

Authors

Institutions

Publication Details

Published
2025-10-13
DOI
https://doi.org/10.1117/12.3083369
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-varying Bezout identity-based compensation for perturbed MIMO right coprime factorization feedback systems

Mingcong Deng, Ya Zhang, Zizhen An
Advanced MIMO Systems Optimization
article

Time-varying Bezout identity-based compensation for perturbed MIMO right coprime factorization feedback systems

Mingcong Deng, Ya Zhang, Zizhen An
article en

Abstract

In this paper, a time-varying Bezout Identity based MIMO systems design using right coprime factorization will be proposed, which contributes to compensating for unexpected perturbation. The algorithm is inspired by homogeneous property of operators, i.e., the dilation occurring in the input can be quantitatively reflected in the output, indicating a measurable relationship between the two. Hence, by designing proper homogeneous operators, the influence on output induced by perturbation could be regarded as a dilation of input, which could be calculated and used as feedback. Moreover, a time-varying Bezout Identity could be formulated given the obtained dilation, by which the perturbation could be compensated. Eventually, the effectiveness of proposed system design will be verified by simulation tests.

Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 72%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.