DocumentCode
2180155
Title
Complexity issues in synchronisation
Author
Mareels, Iven
Volume
1
fYear
2001
fDate
2001
Firstpage
710
Abstract
In this paper, we look at synchronization over a finite window of data from a computational complexity point of view. The setting is purely in discrete time. It is shown that for polynomial systems the computational complexity of a readily available global Newton algorithm adapted to identify the finite trajectory of the dynamical system´s state over the observation window scales in a polynomial manner in the dimension of the system state and the degree of the polynomials required to describe the models. Moreover, this algorithm has good robustness properties with respect to measurement errors and model errors. Simulation results are included
Keywords
Newton method; chaos; computational complexity; discrete time systems; polynomials; synchronisation; telecommunication security; chaotic dynamic systems; computational complexity; discrete time systems; finite trajectory; global Newton algorithm; measurement errors; model errors; polynomial systems; robustness; secure communication; synchronization; Australia; Chaotic communication; Computational complexity; Context; Neural networks; Newton method; Polynomials; Robustness; State-space methods; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980189
Filename
980189
Link To Document