Robust Static Output-Feedback Control for MJLS with Non-Homogeneous Markov Chains: A Comparative Study Considering a Wireless Sensor Network with Time-Varying PER.

Autor: Serafini ARC; Center of Exact, Environmental and Technological Sciences, Pontifical Catholic University of Campinas, Campinas 13086-900, SP, Brazil., Delforno L; Electronics Department, National Service for Industrial Learning (SENAI), Itatiba 13251-360, SP, Brazil., Palma JM; Faculty of Engineering, Universidad de Talca, Curico 3340000, Chile., Behrens FH; Center of Exact, Environmental and Technological Sciences, Pontifical Catholic University of Campinas, Campinas 13086-900, SP, Brazil., Morais CF; Center of Exact, Environmental and Technological Sciences, Pontifical Catholic University of Campinas, Campinas 13086-900, SP, Brazil.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Sep 26; Vol. 21 (19). Date of Electronic Publication: 2021 Sep 26.
DOI: 10.3390/s21196420
Abstrakt: This paper deals with the problem of control through a semi-reliable communication channel, such as wireless sensor networks (WSN). Particularly, the case investigated is the one where the packet loss rate of the network is time-varying due to, for instance, variation in the distance between the nodes. Considering this practical motivation, the control system is modeled using a formulation based on discrete-time Markov jump linear systems (MJLS) with non-homogeneous Markov chains (time-varying transition probabilities). New control design conditions based on parameter-dependent linear matrix inequalities are proposed in order to solve this problem. The purpose is to demonstrate that this strategy is suitable to handle the networked control problem by comparing the temporal behavior of the closed-loop system with the Markovian controller and a standard proportional-integral-derivative (PID) controller. The case study presented in the paper considers the problem of the remote control of a Vertical Take-Off and Landing (VTOL) vehicle through a wireless communication channel. The network packet loss model employed in the case study is based on data collected on a wireless network workbench, which was previously developed and validated by the authors.
Databáze: MEDLINE
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