Analytical Solutions and Controllability of Delay Differential Matrix Equations via Kronecker Product and Delayed Matrix Functions
This work introduces a unified framework for analyzing linear delay differential Sylvester matrix equations with noncommuting coefficients. The methodology employs a Kronecker product-based vectorization to transform the system, yielding explicit closed-form solutions via a novel delayed perturbation matrix function. Additionally, a delay-adapted Gramian matrix is formulated to derive necessary and sufficient controllability criteria. The approach’s efficacy is confirmed through a numerical example, demonstrating its capability in complex, noncommutative scenarios where classical methods are inapplicable.
Authors
- Ahmed M. Elshenhab (ORCID: https://orcid.org/0000-0003-3574-2939)
- Fatemah Mofarreh (ORCID: https://orcid.org/0000-0002-2116-7382)
- Xing Tao Wang (ORCID: https://orcid.org/0000-0002-7968-7188)
- Faridah Alruwaili (ORCID: https://orcid.org/0009-0001-3881-7724)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Mansoura University (EG)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- Mathematics
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3390/math13223581
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Princess Nourah Bint Abdulrahman University