Skip to Content
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
book

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

by Christos Volos, Viet-Thanh Pham
June 2021
Intermediate to advanced
568 pages
18h 20m
English
Academic Press
Content preview from Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Chapter 23: Fuzzy integral sliding mode technique for synchronization of memristive neural networks

Amin Yousefpoura; Hadi Jahanshahib; Dongming Ganc    aSchool of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, IranbDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB, CanadacSchool of Engineering Technology, Purdue University, West Lafayette, IN, United States

Abstract

This chapter is concerned with the synchronization and control of memristive neural networks. To this end, a fuzzy integral sliding mode technique is proposed. This control method combines a fuzzy logic controller with integral sliding mode control to provide fast and smooth synchronization results. Actually, the fuzzy system is ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Event-Based Neuromorphic Systems

Event-Based Neuromorphic Systems

Shih-Chii Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas
Body Sensor Networking, Design and Algorithms

Body Sensor Networking, Design and Algorithms

Saeid Sanei, Delaram Jarchi, Anthony G. Constantinides

Publisher Resources

ISBN: 9780128232026