Title :
Tracking Nonlinear Noisy Dynamic Systems over Noisy Communication Channels
Author :
Farhadi, Alireza ; Ahmed, N.U.
Author_Institution :
INRIA, Grenoble, France
fDate :
4/1/2011 12:00:00 AM
Abstract :
This paper is concerned with tracking a vector of signal process generated by a family of distributed (geographically separated) nonlinear noisy dynamic subsystems over the binary symmetric channel. Nonlinear subsystems are subject to bounded external disturbances. Measurements are also subject to bounded noises. For this system and channel, subject to constraints on transmission rates, cross over probabilities and Lipschitz constants, a simple methodology is presented ensuring tracking with bounded mean absolute error.
Keywords :
binary codes; channel coding; signal processing; tracking; wireless sensor networks; Lipschitz constants; binary symmetric channel coding; bounded external disturbances; bounded mean absolute error; decoder design; encoder design; noisy communication channels; nonlinear noisy dynamic system tracking; sensor networks; signal process vector tracking; wireless communication unit; Communication channels; Decoding; Indexes; Noise; Noise measurement; Nonlinear dynamical systems; Power transmission; Tracking; nonlinear systems; the binary symmetric channel; the erasure channel;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2011.020411.090488