LMI-based Congestion Control Algorithms for a Delayed Network

0569919 - ÚTIA 2023 RIV IR eng J - Článek v odborném periodiku
Fakhimi Derakhshan, Siavash - Shamsabad Farahani, S. S.
LMI-based Congestion Control Algorithms for a Delayed Network.
International Journal of Industrial Electronics, Control and Optimization (IECO). Roč. 2, č. 2 (2019), s. 91-98. ISSN 2645-3517. E-ISSN 2645-3568
Institucionální podpora: RVO:67985556
Klíčová slova: Congestion control * Controller synthesis * Linear matrix inequality (LMI) * Non-quadratic Lyapunov stability * Wireless sensor networks (WSNs)
Obor OECD: Applied mathematics
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2023/AS/fakhimi-0569919.pdf https://ieco.usb.ac.ir/article_4244.html

In this paper, based on queue utilization and channel estimation algorithm, congestion is detected and a suitable rate is selected by an adaptive back-off interval selection. In this paper, a new approach is proposed for controller synthesis of our system based on non-quadratic Lyapunov functions, and a controller is designed to stabilize each subsystem. The controller synthesis results are expressed as a set of Linear Matrix Inequalities . Moreover, the performance is considered and decay rate is guaranteed. Finally, a set of new LMI-based congestion control schemes is obtained for WSNs. The closed-loop systems are globally asymptotically stable in case of delay changes resulted from queue size changes.
Trvalý link: https://hdl.handle.net/11104/0341253