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Stability Analysis of Neural-Network Interconnected Systems
Oleh:
Hwang, Jiing-Dong
;
Hsiao, Feng-Hsiag
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
IEEE Transactions on Neural Networks vol. 14 no. 1 (Jan. 2003)
,
page 201-208.
Topik:
fuzzy neural networks
;
neural - network
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II36.8
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
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.
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