title: Stability analysis of neural-network interconnected systems.
abstract: This paper is concerned with the stability problem of a neural-network (NN) interconnected system which consists of a set of NN models. First, a linear difference inclusion (LDI) state-space representation is established for the dynamics of each NN model. Subsequently, based on the LDI state-space representation, a stability criterion in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN interconnected systems. Finally, a numerical example with simulations is given to demonstrate the results.
authors.affiliation: Dept. of Electron. Eng., Jin-Wen Inst. of Technol., Taipei, Taiwan.
authors.forename: Jiing-Dong
authors.initials: JD
authors.lastname: Hwang
authors.forename: Feng-Hsiag
authors.initials: FH
authors.lastname: Hsiao