Open AccessRobust predictive control for networked control and application to DC‐motor control
Author(s) -
Wu Di,
Sun XiMing,
Wang Wei,
Shi Peng
Publication year - 2014
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.2013.0901
Subject(s) - control theory (sociology) , model predictive control , networked control system , network packet , scheme (mathematics) , robust control , computer science , control system , controller (irrigation) , control (management) , stability (learning theory) , control engineering , dc motor , engineering , mathematics , artificial intelligence , mathematical analysis , computer network , agronomy , machine learning , electrical engineering , biology
This study is concerned with the robust predictive control problem for a class of uncertain networked control systems (NCS) with time‐varying delays and packet dropouts. A networked predictive control (NPC) scheme is proposed to compensate for the effect of time‐varying delays and packet dropouts. The closed‐loop NCS with uncertainties under the networked predictive controller are described as coupled switched control systems. Then by Lyapunov function approach, sufficient conditions are provided to guarantee the robust stability of the system in terms of linear matrix inequalities. As an application, the proposed NPC scheme is applied to DC‐motor control to show the effectiveness of the proposed control scheme.