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Predictive observer‐based control for networked control systems with network‐induced delay and packet dropout
Author(s) -
Li Hongbo,
Sun Zengqi,
Liu Huaping,
Chow MoYuen
Publication year - 2008
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.65
Subject(s) - control theory (sociology) , observer (physics) , dropout (neural networks) , network packet , lyapunov function , controller (irrigation) , stability (learning theory) , model predictive control , networked control system , control engineering , computer science , control system , state observer , control (management) , engineering , nonlinear system , artificial intelligence , machine learning , computer network , physics , electrical engineering , quantum mechanics , agronomy , biology
This paper addresses the stability analysis and synthesis problems for a class of networked control systems (NCSs) under effects of both network‐induced delay and packet dropout. The motivation comes from the increasing NCS applications where the full state vector is not available. To handle the concerned problems, two predictive observer‐based controllers are constructed. The first one is a memoryless controller with the predictive observer collocated with the plant. The second one, with the predictive observer colocated with the controller, uses the last effective plant information as well as the knowledge of the plant dynamics. The stability conditions of NCSs are derived via both network‐condition‐dependent Lyapunov function and common quadric Lyapunov function. The corresponding controller design problems are also solved based upon the obtained stability conditions. Simulation and experimental results are given to demonstrate the effectiveness of the proposed approaches. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society