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Minimal data rate stabilization of nonlinear systems over networks with large delays
Author(s) -
De Persis C.
Publication year - 2009
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.1490
Subject(s) - control theory (sociology) , nonlinear system , quantization (signal processing) , actuator , network packet , controller (irrigation) , computer science , noise (video) , stability (learning theory) , channel (broadcasting) , control (management) , telecommunications , algorithm , artificial intelligence , physics , computer network , quantum mechanics , machine learning , agronomy , image (mathematics) , biology
Control systems over networks with a finite data rate can be conveniently modeled as hybrid (impulsive) systems. For the class of nonlinear systems in feedfoward form, we design a hybrid controller, which guarantees stability, in spite of the measurement noise due to the quantization, and of an arbitrarily large delay, which affects the communication channel. The rate at which feedback packets are transmitted from the sensors to the actuators is shown to be arbitrarily close to the infimal one. Copyright © 2009 John Wiley & Sons, Ltd.