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Author

Yinhe Wang

Bio: Yinhe Wang is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Synchronization (computer science) & Computer science. The author has an hindex of 11, co-authored 45 publications receiving 332 citations.


Papers
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TL;DR: This paper investigates the stabilization and synchronization of complex dynamical networks with different dynamics of nodes by using decentralized linear control and linear matrix inequality to propose a dynamical network model with similar nodes that the dimensions of node dynamics are different.
Abstract: This paper investigates the stabilization and synchronization of complex dynamical networks with different dynamics of nodes by using decentralized linear control and linear matrix inequality. We propose a dynamical network model with similar nodes that the dimensions of node dynamics are different. For this kind of network model, decentralized linear controllers are designed for the stabilization and synchronization. In addition, the synchronization manifold is defined as an invariant manifold, which is regarded as the generalized case of the networks with same node dynamics. Some criteria for the synchronization of networks are derived in this paper. Finally, numerical examples are presented to verify the theoretical results.

78 citations

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TL;DR: This paper investigates the delay-dependent synchronization schemes for the non-diffusively coupled time-varying complex dynamical networks and proposes the adaptive synchronization scheme, where only one adaptive law is needed to guarantee the network realizing asymptotic synchronization.

39 citations

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TL;DR: The synchronization for a class of complex dynamical network with similar nodes and coupling time-delay is investigated, and the time delay independent criterion of the synchronization of thecomplex dynamical networks is derived.

25 citations

Journal ArticleDOI
TL;DR: In this article, the synchronization problem for non-dissipatively coupled time-varying complex dynamical networks via decentralized state feedback controllers is investigated, and the similarities possessed by the nodes in the network model are revealed based on the nodes' dynamics and are applied to synthesize the controllers.
Abstract: This paper investigates the synchronization problem for the non-dissipatively coupled time-varying complex dynamical networks via decentralized state feedback controllers. In our network model, the outer coupling configuration matrices are not restricted by dissipatively coupled condition, time invariance, symmetry, irreducibility or certainty. Besides, different time-varying coupling delays are put into consideration. Moreover, the similarities possessed by the nodes in our network model are revealed based on the nodes’ dynamics and are applied to synthesize the controllers. Furthermore, it is the common bound, not the exact information, of the outer coupling coefficients that is used to design the synchronization controllers. It is worth pointing out that the uncertain outer coupling coefficients’ common bound is admissible in our synchronization schemes, and for this case, adaptive control mechanism is introduced to design the synchronization controllers. Several proper simulation examples are given to verify the effectiveness and feasibility of our theoretical results.

23 citations

Journal ArticleDOI
TL;DR: Numerical simulations are given to verify the theoretical analysis, which clearly shows that the shape controllers can really make two systems achieve shape synchronization in a quite short time.
Abstract: In this paper, we put forward on the drive-response synchronization in shape for four-dimensional (4-D) continuous chaotic system, using the basic theory of plane curves in classical differential geometry. For 4-D continuous system, shape synchronization means the six-response systems have the same shape of chaotic attractor as the six projective systems of driver system. Numerical simulations are given to verify the theoretical analysis, which clearly shows that the shape controllers can really make two systems achieve shape synchronization in a quite short time. Moreover, a shape synchronization encryption algorithm for color image is proposed. Simulation results reveal the superiority of the proposed approach.

23 citations


Cited by
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01 Jan 1999
TL;DR: In this paper, the authors considered communication using chaotic systems from a control point of view and showed that parameter identification methods may be effective in building reconstruction mechanisms, even when a synchronizing system is not available.
Abstract: Communication using chaotic systems is considered from a control point of view It is shown that parameter identification methods may be effective in building reconstruction mechanisms, even when a synchronizing system is not available. Three worked examples show the potentials of the proposed method.

141 citations

Journal ArticleDOI
TL;DR: A 5D multistable four-wing memristive hyperchaotic system (FWMHS) with linear equilibrium points with dynamic characteristics of equilibrium point, perpetual point, bifurcation diagram, Lyapunov exponential spectrum, phase portraits, and spectral entropy is proposed.
Abstract: By introducing a flux-controlled memristor model with absolute value function, a 5D multistable four-wing memristive hyperchaotic system (FWMHS) with linear equilibrium points is proposed in this paper. The dynamic characteristics of the system are studied in terms of equilibrium point, perpetual point, bifurcation diagram, Lyapunov exponential spectrum, phase portraits, and spectral entropy. This system is of the group of systems that have coexisting attractors. In addition, the circuit implementation scheme is also proposed. Then, a secure communication scheme based on the proposed 5D multistable FWMHS with disturbance inputs is designed. Based on parametric modulation theory and Lyapunov stability theory, synchronization and secure communication between the transmitter and receiver are realized and two message signals are recovered by a convenient robust high-order sliding mode adaptive controller. Through the proposed adaptive controller, the unknown parameters can be identified accurately, the gain of the receiver system can be adjusted continuously, and the disturbance inputs of the transmitter and receiver can be suppressed effectively. Thereafter, the convergence of the proposed scheme is proven by means of an appropriate Lyapunov functional and the effectiveness of the theoretical results is testified via numerical simulations.

125 citations

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TL;DR: The main purpose is to design a sampled-data controller so as to the synchronization error system (SES) is exponentially stable and satisfies a predefined H ∞ / passive performance index simultaneously.
Abstract: This paper investigates the problem of the mixed H ∞ / passive sampled-data synchronization control for complex dynamical networks (CDNs) with distributed coupling delay. The sampled interval is deemed as time-varying. The main purpose is to design a sampled-data controller so as to the synchronization error system (SES) is exponentially stable and satisfies a predefined H ∞ / passive performance index simultaneously. Some novel auxiliary function-based integral inequalities are applied to reduce the conservativeness of the presented results, and some effective synchronization criteria are addressed. The gains for the desired controller can be designed by settling an optimization issue in view of the proposed criteria. Three examples are employed to demonstrate the less conservativeness and superiority of the addressed method.

105 citations

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TL;DR: This paper is discussed with the problem of passivity based synchronization for a class of complex dynamical networks (CDNs) consisting uncertain inner coupling matrix together with successive time-varying delays via a state feedback delayed controller.

91 citations

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TL;DR: Based on the Lyapunov stability theory, stochastic analysis theory and linear matrix inequalities(LMI), the sufficient conditions are derived to guarantee the mean square exponential cluster synchronization of a class complex networks with nonlinear hybrid time-varying delays and Stochastic noises via periodically intermittent pinning control.

90 citations