Open AccessDesign and analysis of networked non‐linear predictive control systems
Author(s) -
Liu GuoPing
Publication year - 2015
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.2014.1198
Subject(s) - dropout (neural networks) , control theory (sociology) , model predictive control , networked control system , stability (learning theory) , computer science , linear system , scheme (mathematics) , control system , telecommunications network , control (management) , control engineering , engineering , mathematics , artificial intelligence , telecommunications , machine learning , mathematical analysis , electrical engineering
This study is concerned with the control problem of networked non‐linear systems with communication delay and data dropout. A networked non‐linear predictive control scheme is proposed to compensate for communication delay and data dropout actively rather than passively. The stability analysis shows that the stability problem of the closed‐loop networked non‐linear predictive control system is converted to the one of a conventional non‐linear control system without network. The simulations illustrate that the proposed scheme can compensate for communication delay and data dropout, and achieve the same control performance of the local closed‐loop control system without network.