Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks

Wei Zhu; Dandan Wang; Lu Liu; Gang Feng

doi:10.1109/TNNLS.2017.2731865

Author(s)

Wei Zhu
Dandan Wang
Lu Liu
Gang Feng

Detail(s)

Original language	English
Article number	8013106
Pages (from-to)	3599-3609
Number of pages	11
Journal / Publication	IEEE Transactions on Neural Networks and Learning Systems
Volume	29
Issue number	8
Online published	18 Aug 2017
Publication status	Published - Aug 2018

Link(s)

DOI	DOI https://doi.org/10.1109/TNNLS.2017.2731865 Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85028462192&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(aab965a9-c0a2-4ce1-a9a4-e7f9e7efb532).html

Abstract

This paper investigates exponential stabilization of continuous-time dynamic systems (CDSs) via event-based impulsive control (EIC) approaches, where the impulsive instants are determined by certain state-dependent triggering condition. The global exponential stability criteria via EIC are derived for nonlinear and linear CDSs, respectively. It is also shown that there is no Zeno-behavior for the concerned closed loop control system. In addition, the developed event-based impulsive scheme is applied to the synchronization problem of master and slave memristive neural networks. Furthermore, a self-triggered impulsive control scheme is developed to avoid continuous communication between the master system and slave system. Finally, two numerical simulation examples are presented to illustrate the effectiveness of the proposed event-based impulsive controllers.

Research Area(s)

Synchronization, Zeno-behavior, Event-based impulsive control (EIC), exponential stability, memristive neural networks

Citation Format(s)

[ RIS ] [ BibTeX ]

Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks. / Zhu, Wei; Wang, Dandan; Liu, Lu et al.
In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 8, 8013106, 08.2018, p. 3599-3609.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Zhu, W, Wang, D, Liu, L & Feng, G 2018, 'Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, 8013106, pp. 3599-3609. https://doi.org/10.1109/TNNLS.2017.2731865

Zhu, W., Wang, D., Liu, L., & Feng, G. (2018). Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 29(8), 3599-3609. Article 8013106. https://doi.org/10.1109/TNNLS.2017.2731865

Zhu W, Wang D, Liu L , Feng G. Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 2018 Aug;29(8):3599-3609. 8013106. Epub 2017 Aug 18. doi: 10.1109/TNNLS.2017.2731865

Zhu, Wei ; Wang, Dandan ; Liu, Lu et al. / Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks. In: IEEE Transactions on Neural Networks and Learning Systems. 2018 ; Vol. 29, No. 8. pp. 3599-3609.