State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach
In this article, the superstabilizing state-feedback control problem in descriptor discrete-time fractional-order linear (DDFL) systems with a regular matrix pencil is studied. Methods for investigating the stability and superstability of the considered class of dynamical systems are presented. Proc...
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2021
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oai:doaj.org-article:30209572875b4f738838d78fd3ee09752021-11-25T16:31:40ZState-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach10.3390/app1122105682076-3417https://doaj.org/article/30209572875b4f738838d78fd3ee09752021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10568https://doaj.org/toc/2076-3417In this article, the superstabilizing state-feedback control problem in descriptor discrete-time fractional-order linear (DDFL) systems with a regular matrix pencil is studied. Methods for investigating the stability and superstability of the considered class of dynamical systems are presented. Procedures for the computation of the static state-feedback (SSF) and dynamic state-feedback (DSF) gain matrices such that the closed-loop DDFL (CL-DDFL) system is superstable are presented. A numerical example is used to show the efficacy of the presented approach. Our considerations were based on the Drazin inverse matrix method.Kamil BorawskiMDPI AGarticledescriptordiscrete-timefractional-orderlinear systemstate-feedbacksuperstabilityTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10568, p 10568 (2021) |
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descriptor discrete-time fractional-order linear system state-feedback superstability Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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descriptor discrete-time fractional-order linear system state-feedback superstability Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Kamil Borawski State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
description |
In this article, the superstabilizing state-feedback control problem in descriptor discrete-time fractional-order linear (DDFL) systems with a regular matrix pencil is studied. Methods for investigating the stability and superstability of the considered class of dynamical systems are presented. Procedures for the computation of the static state-feedback (SSF) and dynamic state-feedback (DSF) gain matrices such that the closed-loop DDFL (CL-DDFL) system is superstable are presented. A numerical example is used to show the efficacy of the presented approach. Our considerations were based on the Drazin inverse matrix method. |
format |
article |
author |
Kamil Borawski |
author_facet |
Kamil Borawski |
author_sort |
Kamil Borawski |
title |
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
title_short |
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
title_full |
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
title_fullStr |
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
title_full_unstemmed |
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach |
title_sort |
state-feedback control in descriptor discrete-time fractional-order linear systems: a superstability-based approach |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/30209572875b4f738838d78fd3ee0975 |
work_keys_str_mv |
AT kamilborawski statefeedbackcontrolindescriptordiscretetimefractionalorderlinearsystemsasuperstabilitybasedapproach |
_version_ |
1718413128061943808 |