Published March 2017 | Version v1
Journal article

Nonlinear unknown input sliding mode observer based chaotic system synchronization and message recovery scheme with uncertainty

  • 1. Research scholar with the Department of Electrical Engineering, NIT Hamirpur (India)
  • 2. Faculty with the Department of Electrical Engineering, NIT Hamirpur (India)

Description

In the present manuscript, observer based synchronization and message recovery scheme is discussed for a system with uncertainties. LMI conditions are analytically derived solution of which gives the observer design matrices. Earlier approaches have used adaptive laws to address the uncertainties, however in present work, decoupling approach is used to make observer robust against uncertainties. The methodology requires upper bounds on nonlinearity and the message signal and estimates for these bounds are generated adaptively. Thus no information about the nature of nonlinearity and associated Lipschitz constant is needed in proposed approach. Message signal is recovered using equivalent output injection which is a low pass filtered equivalent of the discontinuous effort required to maintain the sliding motion. Finally, the efficacy of proposed Nonlinear Unknown Input Sliding Mode Observer (NUISMO) for chaotic communication is verified by conducting simulation studies on two chaotic systems i.e. third order Chua circuit and Rossler system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2017.01.006

Additional details

Identifiers

DOI
10.1016/j.chaos.2017.01.006;
PII
S0960-0779(17)30012-7;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
96
Journal Page Range
p. 51-58
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48066084
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ANALYTICAL SOLUTION; CHAOS THEORY; COMMUNICATIONS; DECOUPLING; INFORMATION RETRIEVAL; MATRICES; NONLINEAR PROBLEMS; SIGNALS; SIMULATION; SYNCHRONIZATION
Descriptors DEC
MATHEMATICAL SOLUTIONS; MATHEMATICS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.