Open AccessReducing Conservatism in Analysis of Networked Control Systems Using Order Constraints
Author(s) -
Kamran Mohajeri,
Ali Madadi,
Babak Tavassoli
Publication year - 2021
Publication title -
incas buletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 10
eISSN - 2247-4528
pISSN - 2066-8201
DOI - 10.13111/2066-8201.2021.13.3.8
Subject(s) - dropout (neural networks) , network packet , control theory (sociology) , computer science , stability (learning theory) , transmission (telecommunications) , transmission delay , controller (irrigation) , telecommunications network , control (management) , computer network , telecommunications , artificial intelligence , machine learning , agronomy , biology
This paper deals with the analysis of the stability of networked control systems (NCS). In NCS, the signal transmission between the plant and the controller is done through a communication network. Usually, this data transmission faces packet delay and dropout. Two types of NCS modeling for networks with packet dropout and one type of modeling for networks with packet delays are introduced. These models are of discrete-time switched linear types and there may be constraints on the order of the subsystems’ occurrence. The analysis will be conservative if these constraints are not taken into account. It is shown that by considering these constraints, the stability analysis will be less conservative. Both deterministic and stochastic analyses are considered and compared.