NDLI: Sampled-data synchronisation for memristive neural networks with multiple time-varying delays via extended convex combination method

Content Provider	IET Digital Library
Author	Zhang, Ruimei Zeng, Deqiang Zhong, Shouming Yu, Yongbin Cheng, Jun
Abstract	This study presents a rigorous mathematical framework for the global asymptotic synchronisation of memristive neural networks comprising multiple time-varying delays (MTVDs) through sampled-data control. First, a novel Lyapunov–Krasovskii functional (LKF) is constructed with some new terms, which can fully capture the information on lower and upper bounds of each MTVD. Second, extended convex combination method is presented, which can successfully solve the combination of MTVDs. Third, based on the LKF and employing the extended convex combination technique, synchronisation criterion is derived. In comparison with existing results, the established criterion is more appropriate since it fully utilises the lower and upper bounds of each MTVD. Finally, simulation results are presented to validate the theoretical models.
Starting Page	922
Ending Page	932
Page Count	11
ISSN	17518644
Volume Number	12
e-ISSN	17518652
Issue Number	Issue 7, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.1172
Journal	IET Control Theory & Applications
Publisher Date	2018-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Asymptotic Stability Circuit Implementations Combinatorial Mathematics Delay Discrete Control System Distributed Parameter Control System Extended Convex Combination Method Global Asymptotic Synchronisation LKF Lyapunov Method Lyapunov-Krasovskii Functional Memristive Neural Network Memristor Circuit MTVD Multiple Time-varying Delay Neural Nets Resistor Sampled Data System Sampled-data Control Sampled-data Synchronisation Stability in Control Theory Synchronisation Synchronisation Criterion Time Varying Control System Time Varying System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

New result on exponential stability for singular systems with two interval time-varying delays

Stability analysis for control systems with aperiodically sampled data using an augmented Lyapunov functional method

Exponential stability of impulsive systems with random delays under sampled-data control

Improved Stability Criteria for Delayed Neural Networks via a Relaxed Delay-Product-Type Lapunov–Krasovskii Functional

Stability analysis of linear systems with time-varying delay via a quadratic function negative-definiteness determination method

Improved delay-dependent exponential stability of singular systems with mixed interval time-varying delays

Quasi-synchronisation of fractional-order memristor-based neural networks with parameter mismatches

Stability analysis of wide area power system under the influence of interval time-varying delay

Delay dependent stability conditions of static recurrent neural networks: a non-linear convex combination method

Sampled-data synchronisation for memristive neural networks with multiple time-varying delays via extended convex combination method

Similar Documents

New result on exponential stability for singular systems with two interval time-varying delays

Stability analysis for control systems with aperiodically sampled data using an augmented Lyapunov functional method

Exponential stability of impulsive systems with random delays under sampled-data control

Improved Stability Criteria for Delayed Neural Networks via a Relaxed Delay-Product-Type Lapunov–Krasovskii Functional

Stability analysis of linear systems with time-varying delay via a quadratic function negative-definiteness determination method

Improved delay-dependent exponential stability of singular systems with mixed interval time-varying delays

Quasi-synchronisation of fractional-order memristor-based neural networks with parameter mismatches

Stability analysis of wide area power system under the influence of interval time-varying delay

Delay dependent stability conditions of static recurrent neural networks: a non-linear convex combination method

Sampled-data synchronisation for memristive neural networks with multiple time-varying delays via extended convex combination method