Open AccessSampling and control strategy: networked control systems subject to packet disordering
Author(s) -
Li Jinna,
Er MengJoo,
Yu Haibin
Publication year - 2016
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2015.0757
Subject(s) - network packet , sampling (signal processing) , computer science , transmission delay , control theory (sociology) , packet loss , networked control system , end to end delay , controller (irrigation) , transmission (telecommunications) , quality of service , processing delay , real time computing , mathematical optimization , control (management) , mathematics , computer network , artificial intelligence , telecommunications , detector , agronomy , biology
This study proposes a novel sampling and control strategy to find a suboptimal sampling period sequence and control input sequence, such that a quadratic cost function of state and control input of a networked control system (NCS) with packet disordering is minimised. First, a discrete‐time system model of the NCS with packet disordering, transmission delay and packet loss in terms of displacement values of packets is put forward. Second, a linear quadratic regulation (LQR) problem of the NCS is formulated, showing that the optimal controller depends on sampling period and quality of services (QoS) of networks. Interactive effects between sampling period and QoS of networks pose a challenge in solving the LQR problem of the NCS. To overcome this difficulty, different from traditional transmission‐delay‐based or packet‐loss‐based sampling scheme, a novel packet‐disordering‐based sampling period selection scheme is proposed. Furthermore, an algorithm is presented to find a suboptimal solution to the LQR problem in this study. Finally, simulation results demonstrate the effectiveness of the proposed approach.