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Journal ArticleDOI

Synchronization of hybrid-coupled delayed dynamical networks via aperiodically intermittent pinning control

Mei Liu, +2 more
- 01 Aug 2016 - 
- Vol. 353, Iss: 12, pp 2722-2742
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TLDR
By establishing a new differential inequality and constructing Lyapunov function, several useful criteria are derived analytically to realise exponential synchronization for both free time delay and small time delay in hybrid-coupled delayed dynamical networks via pinning aperiodically intermittent control.
Abstract
In this paper, we concern the exponential synchronization problem for hybrid-coupled delayed dynamical networks via pinning aperiodically intermittent control. Different from previous works, the delayed coupling term considered here contains the transmission delay and self-feedback delay, and the intermittent control can be aperiodic. By establishing a new differential inequality and constructing Lyapunov function, several useful criteria are derived analytically to realise exponential synchronization for both free time delay (there is no restriction imposed on the delay and the control (and/or rest) width) and small time delay (the delay is smaller than the minimum of control width). Moreover, the detail of pinning and aperiodically intermittent control strategy are provided. Finally, a numerical example is given to demonstrate the validness of the proposed scheme.

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Citations
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Journal ArticleDOI

Stabilization of Stochastic Uncertain Complex-Valued Delayed Networks via Aperiodically Intermittent Nonlinear Control

TL;DR: The stabilization problem of stochastic uncertain complex-valued delayed networks (SUCVDNs) via aperiodically intermittent nonlinear control is studied via the combination of the Lyapunov method and Kirchhoff’s matrix tree theorem in graph theory.
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Synchronization of memristive neural networks with mixed delays via quantized intermittent control

TL;DR: This paper considers asymptotic synchronization of drive-response memristive neural networks with bounded time-varying discrete delay and unbounded distributed delay (mixed delays), which extends existing intermittent control techniques and reveals new relationship between control width and rest width.
Journal ArticleDOI

Finite-time synchronization of delayed dynamical networks via aperiodically intermittent control

TL;DR: By establishing a new differential inequality and constructing Lyapunov function, several useful criteria are derived analytically to realize finite-time synchronization for delay complex networks via aperiodically intermittent control.
Journal ArticleDOI

Adaptive exponential cluster synchronization in colored community networks via aperiodically intermittent pinning control

TL;DR: This paper investigates the problem of pinning cluster synchronization for colored community networks via adaptive aperiodically intermittent control by introducing a novel piecewise continuous auxiliary function and derived criteria are rigorously derived according to Lyapunov stability theory and piecewise analysis approach.
Journal ArticleDOI

Synchronization of stochastic hybrid coupled systems with multi-weights and mixed delays via aperiodically adaptive intermittent control

TL;DR: Because of using the established differential inequalities, the conditions on the delay-related parameters affecting the exponential convergence rate are weakened, which results in the exponential synchronization criteria obtained in this paper being less conservative than those in the existing literature.
References
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Journal ArticleDOI

Emergent Behavior in Flocks

TL;DR: The main result shows that when beta<1/2 convergence of the flock to a common velocity is guaranteed, while for betages1/ 2 convergence is guaranteed under some condition on the initial positions and velocities of the birds only.
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Robust control of a class of uncertain nonlinear systems

TL;DR: In this article, the robust control of a class of nonlinear systems with real-time-varying parameter uncertainty is considered and a technique is proposed for designing stabilizing controllers for both problems by converting them into scaled H∞ control problems which do not involve parameter uncertainty.
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