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Stability of networked control system with dynamic quantizer and data‐driven zero‐order hold
Author(s) -
Konaka Eiji
Publication year - 2011
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10329
Subject(s) - dropout (neural networks) , computer science , stability (learning theory) , quantization (signal processing) , control theory (sociology) , zero (linguistics) , networked control system , control (management) , algorithm , artificial intelligence , machine learning , linguistics , philosophy
Abstract High‐speed communication networks, such as the Internet, have recently seen rapid development. This has facilitated the construction of control systems that employ these networks. However, these systems have two major problems: (i) bit rate limitation, and (ii) network unreliability, such as delays, data dropouts, etc. In this study, dynamic quantization is used to overcome the first problem. For the second problem, data‐driven zero‐order hold is used to suppress the effect of stochastic data dropout through an unreliable network. The stochastic stability of the system is analyzed and the sufficient condition for stability is derived in this study. Finally, the proposed method is validated through some experiments. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(2): 1–8, 2011; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.10329