Sampled-Data Nonlinear Observer Design for Chaos Synchronization: a Lyapunov-Based Approach
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
Green Open Access
No
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OpenAIRE Views
Publicly Funded
No
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Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%
Abstract
This paper considers sampled-data based chaos synchronization using observers in the presence of measurement noise for a large class of chaotic systems. We study discretized model of chaotic systems which are perturbed by white noise and employ Lyapunov-like theorems to come up with a simple yet effective observer design. For the choice of observer gain, a suboptimal criterion is obtained in terms of LMI. We present semiglobal as well as global results. The proposed scheme can also be extended for discrete-time chaotic systems. Numerical simulations have been carried out to verify the effectiveness of theoretical results. (C) 2013 Elsevier B.V. All rights reserved.
Description
Keywords
State Estimation, Nonlinear Observer, Chaos Synchronization, Linear Matrix Inequality (Lmi), Sampled-data control/observation systems, Observability, nonlinear observer, chaos synchronization, state estimation, Chaos control for problems involving ordinary differential equations, linear matrix inequality (LMI), Strange attractors, chaotic dynamics of systems with hyperbolic behavior
Fields of Science
0209 industrial biotechnology, 0103 physical sciences, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
Q1
OpenCitations Citation Count
22
Source
Communications in Nonlinear Science and Numerical Simulation
Volume
19
Issue
7
Start Page
2444
End Page
2453
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Citations
CrossRef : 24
Scopus : 25
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Mendeley Readers : 14
SCOPUS™ Citations
26
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Web of Science™ Citations
24
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Page Views
2
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