Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2015-02-01

Journal: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Included Journals: Scopus、EI、SCIE

Volume: 26

Issue: 2

Page Number: 357-366

ISSN: 2162-237X

Key Words: Average dwell time; hysteresis switching law; passivity; switched neural networks

Abstract: This paper is concerned with the passivity analysis for switched neural networks subject to stochastic disturbances and time-varying delays. First, using the multiple Lyapunov functions method, a state-dependent switching law is designed to present a stochastic passivity condition. Second, a hysteresis switching law involving both the current state and the previous value of the switching signal are presented to avoid chattering resulted from the state-dependent switching. Third, based on the average dwell-time approach, a class of switching signals is determined to guarantee the switched neural network stochastically passive. Finally, three numerical examples are provided to illustrate the characteristics of three proposed switching laws.