Title :
Finite-time synchronization of memristor-based neural networks
Author :
Haibo Bao ; Park, Ju H.
Author_Institution :
Sch. of Math., Southwest Univ., Chongqing, China
Abstract :
This paper investigates finite-time synchronization of memristor-based neural networks. The purpose of the addressed problem is to design a suitable controller to realize the finite-time synchronization between the drive and response systems. Unlike the previous works, such finite-time synchronization will be realized for memristor-based neural networks which are with discontinuous right-hand side. Based on finite-time stability theory and nonsmooth analysis in mathematics, sufficient conditions are derived to ensure the finite-time synchronization of memristor-based neural networks. An example is used to demonstrate the correctness of the main results.
Keywords :
neural nets; stability; synchronisation; controller design; discontinuous right-hand side; finite-time stability theory; finite-time synchronization; memristor-based neural networks; nonsmooth analysis; Biological neural networks; Chaos; Delays; Memristors; Neurons; Synchronization; Filippov´s solution; Finite-time synchronization; drive-response systems; memristor; nonlinear control;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162199
