Title :
Linear, Random Representations of Chaos
Author :
Drake, Daniel F. ; Williams, Douglas B.
Author_Institution :
Sch. of Medicine, Emory Univ., Atlanta, GA
fDate :
4/1/2007 12:00:00 AM
Abstract :
Although there may be some disagreement as to the precise definition of chaos, it is generally characterized as a nonlinear, deterministic phenomenon. For a class of common chaotic systems, this paper introduces equivalent descriptions in the form of linear, time-invariant (LTI) systems with random inputs. Such models have many advantages as they are much better matched to traditional signal and system theory. The outputs of these LTI systems will be shown to be indistinguishable from the outputs of the corresponding chaotic systems. Specifically, for a given random input the LTI system will generate exactly the same output as the corresponding chaotic map with a certain initial condition
Keywords :
IIR filters; chaos; discrete time systems; nonlinear dynamical systems; signal representation; IIR filters; chaos random representations; discrete-time chaotic dynamical systems; nonlinear modeling; random inputs; system theory; time-invariant systems; Chaos; Entropy; History; Kalman filters; Multiaccess communication; Orbits; Piecewise linear techniques; Random processes; Signal processing; Signal synthesis; Chaos; nonlinear modeling;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.888885