Open AccessData and event‐driven control of a class of networked non‐linear control systems
Author(s) -
Wang Zhuo,
Chen Tongwen
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.2014.0711
Subject(s) - control theory (sociology) , controller (irrigation) , networked control system , scheme (mathematics) , computer science , control system , event (particle physics) , linear system , control (management) , control engineering , convergence (economics) , engineering , mathematics , artificial intelligence , mathematical analysis , physics , electrical engineering , quantum mechanics , economic growth , agronomy , economics , biology
In this study, the authors develop a data and event‐driven control scheme that combines data and event‐driven control methods, for a class of networked non‐linear control systems, which consist of a remote controller and a local non‐linear control system. The plant in the local non‐linear control system has an unknown dynamic model. They apply a data‐based method to design and adjust the feedback gain matrix for the plant, whose desired outputs are given by the remote controller. This method has advantages of both data and event‐driven control methods. Moreover, the proposed scheme provides an alternative option to realise remote control, when the dynamic model of the plant is unknown. They then present theoretical analysis on the convergence condition and a computer simulation example to demonstrate the feasibility of the developed control scheme.