Literature DB >> 28922137

Finite-Time Synchronization of Networks via Quantized Intermittent Pinning Control.

Fuad E Alsaadi, Tasawar Hayat.   

Abstract

This technical correspondence considers finite-time synchronization of dynamical networks by designing aperiodically intermittent pinning controllers with logarithmic quantization. The control scheme can greatly reduce control cost and save both communication channels and bandwidth. By using multiple Lyapunov functions and convex combination techniques, sufficient conditions formulated by a set of linear matrix inequalities are derived to guarantee that all the node systems are synchronized with an isolated trajectory in a finite settling time. Compared with existing results, the main characteristics of this paper are twofold: 1) quantized controller is used for finite-time synchronization and 2) the designed multiple Lyapunov functions are strictly decreasing. An optimal algorithm is proposed for the estimation of settling time. Numerical simulations are provided to demonstrate the effectiveness of the theoretical analysis.

Year:  2017        PMID: 28922137     DOI: 10.1109/TCYB.2017.2749248

Source DB:  PubMed          Journal:  IEEE Trans Cybern        ISSN: 2168-2267            Impact factor:   11.448


  1 in total

1.  New Criteria for Synchronization of Multilayer Neural Networks via Aperiodically Intermittent Control.

Authors:  Taiyan Jing; Daoyuan Zhang; Xiaohua Zhang
Journal:  Comput Intell Neurosci       Date:  2022-09-27
  1 in total

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