Title: Robust Synchronization of Memristive Neural Networks with Strong Mismatch Characteristics via Pinning Control
Authors: Li, YH; Luo, B; Liu, DR; Yang, ZY
Author Full Names: Li, Yueheng; Luo, Biao; Liu, Derong; Yang, Zhanyu
Source: NEUROCOMPUTING, 289 144-154; 10.1016/j.neucom.2018.02.006 MAY 10 2018
Language: English
Abstract: This paper is concerned with robust synchronization problem of memristive neural networks (MNNs) with mismatch characteristics. First, based on theories of set-valued maps and differential inclusions, strong mismatch characteristics including coefficient mismatch and time-varying delay mismatch are simultaneously considered between the drive and response MNNs. Second, pinning control strategy, which can save control cost by adding controllers on partial node, is adopted to guarantee the drive system and the response system can achieve synchronization robustly. Furthermore, the sufficient stability conditions for error system is proved by using Lyapunov functional method. Finally, numerical simulation is presented to verify the effectiveness of the proposed results. (C) 2018 Published by Elsevier B.V.
ISSN: 0925-2312
eISSN: 1872-8286
IDS Number: GA2CB
Unique ID: WOS:000428123200012