The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

On the Sampling and the Performance Comparison of Controlled LTI Systems

Author 1: Sirine FEKIH Author 2: Boutheina SFAIHI Author 3: Mohamed BENREJEB
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 3 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090331

Abstract

In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process in finite time, a discrete-time feedback dead-beat controller is designed for the sampled-data system. Checkable conditions on the approximate discrete-time plant model and the associated controller that guarantee the finite-time stabilization of the exact model are developed. The trade-off between the discretization technique, the sampling time and the desired performances is illustrated and discussed. Results are presented through a case study.

Keywords

How to Cite this Article

Sirine FEKIH, Boutheina SFAIHI and Mohamed BENREJEB. "On the Sampling and the Performance Comparison of Controlled LTI Systems". International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 9, No. 3, 2018. https://doi.org/10.14569/IJACSA.2018.090331

BibTeX

@article{FEKIH2018,
  title     = {On the Sampling and the Performance Comparison of Controlled LTI Systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {3},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Sirine FEKIH and Boutheina SFAIHI and Mohamed BENREJEB},
  doi       = {10.14569/IJACSA.2018.090331},
  url       = {https://doi.org/10.14569/IJACSA.2018.090331}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.