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Adaptive Synchronization of Nonlinear Complex Dynamical Networks with Time-Delays and Sampled-Data

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1160))

Abstract

This paper investigates the adaptive synchronization of nonlinear complex dynamical networks with time-delays and sampled-data by proposing a new adaptive strategy to coupling strengths and feedback gains. According to Lyapunov theorem, it is testified that the agents of sub-groups can converge those synchronous states respectively under some special conditions. In addition, some simulations are proposed to illustrate the theoretical results.

This work was supported in part by the National Natural Science Foundation of China Grant (No. 61773023), 2018 Beijing Education Commission Basic Science Research Expenses Project, “The-Great-Wall-Scholar” Candidate Training Plan of NCUT (XN070006), Construction Plan for Innovative Research Team of NCUT (XN018010), “Yu Xiu” Talents of NCUT.

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Correspondence to Jiahui Bai , Ningsheng Xu or Yaoyao Ping .

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Bai, J., Xu, N., Ping, Y., Lu, X. (2020). Adaptive Synchronization of Nonlinear Complex Dynamical Networks with Time-Delays and Sampled-Data. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1160. Springer, Singapore. https://doi.org/10.1007/978-981-15-3415-7_4

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  • DOI: https://doi.org/10.1007/978-981-15-3415-7_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3414-0

  • Online ISBN: 978-981-15-3415-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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