Synchronization Control of High-Order Inertial Hopfield Neural Network with Time Delay | Zendy

Liang Ke | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Synchronization Control of High-Order Inertial Hopfield Neural Network with Time Delay

Author(s) -

Liang Ke

Publication year - 2020

Publication title -

revue d intelligence artificielle

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.146

H-Index - 14

eISSN - 1958-5748

pISSN - 0992-499X

DOI - 10.18280/ria.340509

Subject(s) - synchronization (alternating current) , control theory (sociology) , artificial neural network , inertial frame of reference , computer science , inertia , differential (mechanical device) , hopfield network , differential equation , term (time) , delay differential equation , control (management) , mathematics , engineering , artificial intelligence , physics , mathematical analysis , computer network , channel (broadcasting) , classical mechanics , quantum mechanics , aerospace engineering

This paper probes deep into the synchronization control of high-order inertial Hopfield neural network with time delay, considering both inertia term and high-order term. Specifically, a second-order differential system was transformed into a first-order differential system, through proper variable substitution. Then, the sufficient conditions for exponential synchronization of the response system were theorized, with the aid of the fundamental solution matrix of the differential equation. The theoretical conditions were verified through an example analysis. The research findings have great application potential in production, communication, and automation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research