Open AccessDelay-Dependent Stability Improvement for Networked Control Systems: a Sampled Data Approach
Author(s) -
Noureddine Nafir,
Mohamed Rouamel,
Fayçal Bourahala,
Samir Bouzoualegh
Publication year - 2022
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v7i1.160
Subject(s) - control theory (sociology) , mathematics , stability (learning theory) , lemma (botany) , upper and lower bounds , weighting , simple (philosophy) , controller (irrigation) , control system , control (management) , computer science , mathematical analysis , engineering , medicine , ecology , philosophy , poaceae , radiology , epistemology , machine learning , artificial intelligence , agronomy , biology , electrical engineering
This paper concerns the stability conditions and controller design for sampled-data networked control systems (NCSs) model subject to network communication delays, the main objective is to guarantee the maximum allowable upper bounds of network-induced time-varying delays that keep the NCSs stable. First, Lyapunov-Krasovskii functional with simple and double-integral terms is constructed considering both upper and lower bounds of network delay. Then, less conservative Linear Matrix Inequalities (LMIs) stability conditions are established using null terms to introduce free weighting matrices based on the Leibniz-Newton formula. Furthermore, Finsler's lemma is used for the relaxation of the obtained LMI's stability conditions using slack decision variables. It is also used to decouple Lyapunov-Krasovskii matrices from the system ones. The application of the proposed approach for different NCSs gives higher upper delay bounds compared with other methods.