Chaos synchronization and transmission of information in coupled SC-CNN-based canonical Chua’s circuit

Swathy, P. S.; Suresh, K.; Thamilmaran, K.

doi:10.1007/s11071-014-1494-y

Cited by 14 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…secure communication systems are based on chaos synchronization techniques [11][12][13][14][15][16], where the receiver (response or slave) chaotic system synchronizes with the transmitter (drive or master) system via a signal transmitted over a public channel. After the chaos synchronization is achieved, the message can be recovered in different ways corresponding to different structures of the encryption scheme.…”

mentioning

confidence: 99%

Chaotic masking of communication in an emitter–relay–receiver electronic setup

Nana

Woafo

2015

Nonlinear Dyn

View full text Add to dashboard Cite

In this paper, an experimental study of practical realization for the transmission of information using chaotic oscillators is presented. We use a ring of three coupled oscillators (emitter-relay-receiver) to demonstrate some views of chaotic masking. Furthermore, several secure communication lines are discussed in this paper. We take into account the parameters mismatch, and the experimental results are in close accordance with the theoretical ones.

show abstract

mentioning

confidence: 99%

Chaotic masking of communication in an emitter–relay–receiver electronic setup

Nana

Woafo

2015

Nonlinear Dyn

View full text Add to dashboard Cite

show abstract

“…The observer design and synchronization control techniques are critical steps in our proposed methods. As is known, both the observer design and synchronization control have been widely implemented on physical devices for the circuits of chaotic systems [42,43] or neural networks [44], which implies that our proposed methods are implementable. It is our interest to look into applications of the proposed methods on physical devices and circuits in the future work.…”

Section: Discussionmentioning

confidence: 99%

Recovering unknown topology in a two-layer multiplex network: One layer infers the other layer

Liu

Shang

Ren

et al. 2022

Sci. China Technol. Sci.

View full text Add to dashboard Cite

There have been increasing interests in studying multiplex dynamical networks recently. This paper focuses on topology identification of two-layer multiplex networks with peer-to-peer interlayer couplings. For a two-layer network model in which different layers have different coupling patterns, we propose novel methods to recover unknown topological structure of one layer, using the information of the other layer known as a prior. The proposed methods make full use of the measured evolutional states of the multiplex network itself, and treat the layer with a known structure as an auxiliary layer which is designed to identify the unknown topological layer. Compared with the traditional synchronization-based identification method, the proposed methods are in no need of constructing an additional auxiliary network to identify the unknown topological layer, and thus greatly reduce the cost of topology identification. Finally, numerical simulations validate the effectiveness of the proposed methods.

show abstract

“…Many alternative schemes of synchronization based on modifications of the drive-response concept have been proposed, such as the unidirectional coupling sche-me refer [62,63], function projective synchronization [72], hybrid function projective synchronization [73,74,75,76,77], the arbitrary hybrid function projective synchronization [78,79,80] etc. The synchronization of two canonical Chua's circuits using resistive unidirectional coupling has been studied by [81] and two unidirectional coupled SC-CNN based canonical Chua's circuits has been realised experimentally by [82]. The synchronization and propagation of a low frequency signal in a network of unidirectionally coupled Chua's circuits driven by a bi-harmonic external excitation has been studied by [83].…”

Section: Synchronization Of Chaosmentioning

confidence: 99%

State Feedback Control and Observer Based Adaptive Synchronization of Chaos in a Memristive Murali-Lakshmanan-Chua Circuit

Ahamed¹,

Lakshmanan²

2020

Preprint

View full text Add to dashboard Cite

In this paper we report the control and synchronization of chaos in a Memristive Murali-Lakshmanan-Chua circuit. This circuit, introduced by the present authors in 2013, is basically a non-smooth system having two discontinuity boundaries by virtue of it having a flux controlled active memristor as its nonlinear element. While the control of chaos has been effected using state feedback techniques, the concept of adaptive synchronization and observer based approaches have been used to effect synchronization of chaos. Both of these techniques are based on state space representation theory which is well known in the field of control engineering. As in our earlier works on this circuit, we have derived the Poincaré Discontinuity Mapping (PDM) and Zero Time Discontinuity Mapping (ZDM) corrections, both of which are essential for realizing the true dynamics of non-smooth systems. Further we have constructed the observer and controller based canonical forms of the state space representations, have set up the Luenberger observer, derived the controller gain vector to implement state feedback control and calculated the gain matrices for switch feed back and finally performed parameter estimation for effecting observer based adaptive synchronization. Our results obtained by numerical simulation include time plots, phase portraits, estimation of the parameters and convergence of errors graphs and phase plots showing complete synchronization.

show abstract

Chaos synchronization and transmission of information in coupled SC-CNN-based canonical Chua’s circuit

Cited by 14 publications

References 29 publications

Chaotic masking of communication in an emitter–relay–receiver electronic setup

Chaotic masking of communication in an emitter–relay–receiver electronic setup

Recovering unknown topology in a two-layer multiplex network: One layer infers the other layer

State Feedback Control and Observer Based Adaptive Synchronization of Chaos in a Memristive Murali-Lakshmanan-Chua Circuit

Contact Info

Product

Resources

About