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Quantized stabilization of networked control systems with actuator saturation
Author(s) -
Yang Hongjiu,
Xia Yuanqing,
Yuan Huanhuan,
Yan Jingjing
Publication year - 2016
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3525
Subject(s) - delta operator , control theory (sociology) , quantization (signal processing) , actuator , networked control system , control system , computer science , operator (biology) , network packet , bernoulli process , bernoulli's principle , control engineering , control (management) , engineering , shift operator , artificial intelligence , compact operator , computer network , biochemistry , chemistry , repressor , aerospace engineering , transcription factor , electrical engineering , extension (predicate logic) , computer vision , gene , programming language
Summary In this paper, we investigate the problems of stabilization of networked control systems with quantization and actuator saturation via delta operator approach. The definition of the domain of attraction for delta operator systems is introduced to analyze the stochastic stability of the closed‐loop networked control systems. The quantizer is a uniform one with arbitrary quantization regions, and the packet dropout process is modeled as a Bernoulli process. On the basis of the zoom strategy and Lyapunov theory in delta domain, sufficient conditions are given for the closed‐loop delta operator systems to be mean square stable, and the feedback controllers are designed to ensure the stability of networked control systems. A single link direct joint driven manipulator model is presented to show the effectiveness of the main results. Copyright © 2016 John Wiley & Sons, Ltd.