Global Exponential Convergence of Cohen-Grossberg Neural Networks With Time Delays  

Oleh:

Lu, Hongtao ; Shen, Ruiming ; Chung, Fu-Lai

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 6 (Nov. 2005), page 1694-1696.
Topik: time; global exponential; convergence; cohen - grossberg; neural networks; time delays

Ketersediaan

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

Lihat Detail Induk

Isi artikel

In this paper, we derive a general sufficient condition ensuring global exponential convergence of Cohen - Grossberg neural networks with time delays by constructing a novel Lyapunov functional and smartly estimating its derivative. The proposed condition is related to the convex combinations of the column - sum and the row - sum of the connection matrices and also relaxes the constraints on the network coefficients. Therefore, the proposed condition generalizes some previous results in the literature.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali