Multi-switching combination synchronization of chaotic systems

Vincent, U. E.; Saseyi, A.O.; McClintock, Peter V. E.

doi:10.1007/s11071-015-1910-y

Cited by 61 publications

(28 citation statements)

References 39 publications

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“…This process forces the slave system to follow the master system by generating an exact replica of the transmitted signal (driving signal), leading to chaos synchronization. This concept is widely used in analog chaos-based communication systems and for secure communications [77]- [79]. These chaos synchronization methods which are proposed in [80]- [83] can be summarized as in Table 2.…”

Section: ) Chaos Synchronizationmentioning

confidence: 99%

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

2016

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Since the early 1990s, a large number of chaos-based communication systems have been proposed exploiting the properties of chaotic waveforms. The motivation lies in the significant advantages provided by this class of non-linear signals. For this aim, many communication schemes and applications have been specially designed for chaos-based communication systems where energy, data rate, and synchronization awareness are considered in most designs. Recently, the major focus, however, has been given to the non-coherent chaos-based systems to benefit from the advantages of chaotic signals and noncoherent detection and to avoid the use of chaotic synchronization, which suffers from weak performance in the presence of additive noise. This paper presents a comprehensive survey of the entire wireless radio frequency chaos-based communication systems. First, it outlines the challenges of chaos implementations and synchronization methods, followed by comprehensive literature review and analysis of chaos-based coherent techniques and their applications. In the second part of the survey, we offer a taxonomy of the current literature by focusing on non-coherent detection methods. For each modulation class, this paper categorizes different transmission techniques by elaborating on its modulation, receiver type, data rate, complexity, energy efficiency, multiple access scheme, and performance. In addition, this survey reports on the analysis of tradeoff between different chaos-based communication systems. Finally, several concluding remarks are discussed.

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Section: ) Chaos Synchronizationmentioning

confidence: 99%

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

2016

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“…According to [41] in [4], If there exists two constants matrices A, B ε R n and A, B = 0, such that lim∞ kByi − Axik = 0 and where k.k is the matrix norm and A,B are scaling matrices, then systems (4) and (5) are said to be in synchronization.…”

Section: Definitionmentioning

confidence: 99%

“…One of the most important attributes of nonlinear dynamical systems is synchronization, originally proposed by Pecora and Carroll [3]. This concept has been considered as a major breakthrough in chaotic dynamics [4], due to its potential applications in modelling brain activities, chemical reactions; and more importantly, in information processing and secure communication [5]. These foreseen applications has triggered the enormous research attention given to chaos synchronization for over two decades.…”

Section: Introductionmentioning

confidence: 99%

“…In 2008, Ucar et al [23] proposed the multiswitching synchronization of chaotic systems, in which the slave system's state variables synchronizes with different state variables of the driver. Despite its clear relevance to information security, only a few studies have been dedicated to this kind of synchronization to-date [4] [24] − [29].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, most multiswitching synchronization scheme have been devoted to lower dimensional chaotic systems (See [4] and references therein). A few have considered hyperchaotic systems which indeed show complex nonperiodic behavior with at least two Lyapunov exponents (See Ref.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multiswitching Synchronization of Non-Identical Hyperchaotic Lorenz and Chen Systems

2016

IJSR

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In this paper, synchronization of four-dimensional hyperchaotic Lorenz system, (drive system) with the Chen's system (response system) are investigated based on backstepping technique. Unlike the well-known i = j, multiswitching of the indices was employed in the usual master-slave synchronization scheme. We provided varieties of non-identical indices, that is, i = j of the driver system. In this high dimension, more switching options for construct-ing the error space vector due to the large number of variables are available; and by implication providing variety of synchronizaion directions between variables of the master and the slave systems, which could be used in securing electronic information and communication.

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Multiswitching dual combination synchronization of time‐delay chaotic systems

Khan

Budhraja

Ibraheem

2018

Math Methods in App Sciences

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This paper presents a novel synchronization scheme of multiswitching dual combination synchronization which is first of its kind. Multiswitching dual combination synchronization is achieved for 6 time‐delay chaotic systems. Asymptotically stable synchronization states are established by nonlinear control method and Lyapunov Krasovskii functional. To elaborate the proposed scheme, an example of time‐delay Rossler, Chen, and Shimizu Morioka systems is considered, where time‐delay Rossler system and Chen system are considered as drive systems and time‐delay Shimizu Morioka system is considered as response system. Theoretical analysis and computational results are in excellent agreement.

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Multi-switching combination synchronization of chaotic systems

Cited by 61 publications

References 39 publications

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

Multiswitching Synchronization of Non-Identical Hyperchaotic Lorenz and Chen Systems

Multiswitching dual combination synchronization of time‐delay chaotic systems

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