Transformations of the discrete-time linear systems to the positive asymptotically stable forms

New approaches to the transformations of the discrete-time linear systems to their positive asymptotically stable canonical controllable (observable) forms is proposed. It is shown that if the matrix A of the system is nonsingular then the desired transformation matrix can be chosen in block diagonal form. Procedures for computation of the transformation matrices are proposed and illustrated by simple numerical examples.

Authors

Institutions

Publication Details

Journal
Journal of Automation Electronics and Electrical Engineering
Published
2024-09-30
DOI
https://doi.org/10.24136/jeee.2024.005
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transformations of the discrete-time linear systems to the positive asymptotically stable forms

Tadeusz Kaczorek
Journal of Automation Electronics and Electrical Engineering
Mathematical Control Systems and Analysis
article

Transformations of the discrete-time linear systems to the positive asymptotically stable forms

Tadeusz Kaczorek
article en

Abstract

New approaches to the transformations of the discrete-time linear systems to their positive asymptotically stable canonical controllable (observable) forms is proposed. It is shown that if the matrix A of the system is nonsingular then the desired transformation matrix can be chosen in block diagonal form. Procedures for computation of the transformation matrices are proposed and illustrated by simple numerical examples.

Journal of Automation Electronics and Electrical EngineeringVol. 6(2)
Bialystok University of Technology (PL)
Openalex Percentile: Top 75%
Mathematical Control Systems and Analysis
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.