Exponential Stability of Impulsive High-Order Hopfield-Type Neural Networks With Time-Varying Delays  

Oleh:

Liu, Xinzhi ; Kok, Lay Teo ; Xu, Bingji

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 6 (Nov. 2005), page 1329-1339.
Topik: STABILITY; exponential stability; impulsive; high - order; hopfield - type; neural networks; time - varying delays

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper considers the problems of global exponential stability and exponential convergence rate for impulsive high - order Hopfield - type neural networks with time - varying delays. By using the method of Lyapunov functions, some sufficient conditions for ensuring global exponential stability of these networks are derived, and the estimated exponential convergence rate is also obtained. As an illustration, an numerical example is worked out using the results obtained.

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