4.7 Article

Adaptively Synchronize the Derivative Coupled Complex Networks With Proportional Delay

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 51, Issue 8, Pages 4969-4979

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2019.2943621

Keywords

Delays; Synchronization; Complex networks; Couplings; Protocols; Delay effects; Complex systems; Adaptive control; complex networks; derivative coupling; exponential synchronization; impulsive effects; proportional delay

Funding

  1. National Natural Science Foundation of China [61803180, 61873171, 61973138]
  2. Natural Science Foundation of Jiangsu Province [BK20180599]
  3. National Key Research and Development Program of China [2018YFB1701903]
  4. 111 Project [B12018]
  5. Basic Science Research Programs through the National Research Foundation of Korea [NRF-2017R1A2B2004671]

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This article explores adaptive control and exponential synchronization of derivative coupled complex dynamical networks with proportional delay. It presents criteria for achieving exponential synchronization using impulsive control and adaptive pinning control protocols, and provides suitable control gains for adaptive synchronization. Numerical simulations validate the theoretical results, and the concept of impulsive distance is introduced to assist in controller design.
This article investigates adaptive control and exponential synchronization of a kind of derivative coupled complex dynamical networks (CDNs) with proportional delay. Based on impulsive control and adaptive pinning control protocols, sufficient criteria for achieving of the exponential synchronization on CDNs are obtained by jointly applying the proportional delayed impulsive comparison principle, the extended parameters variation formula and the definition of average impulsive interval. Meanwhile, suitable control gains for achieving adaptive synchronization are acquired according to the efficiently designed adaptive updating laws. In addition, the convergence velocity of the exponential synchronization is precisely estimated. Finally, one numerical simulation is presented to illustrate the validity of the adaptive pinning control protocols and theoretical results. By introducing the concept of impulsive distance for the first time, the example further explains the dynamic balance between the impulsive effects and the feedback control gains, which provides a method in controller designing.

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