Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - 求解二次规划问题的离散时间神经网络的收敛性分析
AU - Lu, Yang
AU - Yugeng, XI
AU - Jianbo, LU
PY - 2012/11/30
Y1 - 2012/11/30
N2 - The convergence property of discrete-time neural network for quadratic programming is analyzed. By choosing a proper Lyapunov function, a sufficient ondition for global convergence is obtained. The convergence rate under the condition is also investigated through a in-depth discussion about full-row-rank inequality constraint left matrix condition nd non-full-row-rank inequality constraint left matrix condition, respectively, and the exponential convergence property for both full-row rank and non-full-row rank inequality constraint left matrix conditions under the mentioned sufficient condition is proved. Simulation resultverifies the validity of the theoretical results obtained in this paper.CLC Number:
AB - The convergence property of discrete-time neural network for quadratic programming is analyzed. By choosing a proper Lyapunov function, a sufficient ondition for global convergence is obtained. The convergence rate under the condition is also investigated through a in-depth discussion about full-row-rank inequality constraint left matrix condition nd non-full-row-rank inequality constraint left matrix condition, respectively, and the exponential convergence property for both full-row rank and non-full-row rank inequality constraint left matrix conditions under the mentioned sufficient condition is proved. Simulation resultverifies the validity of the theoretical results obtained in this paper.CLC Number:
U2 - 10.12341/jssms11991
DO - 10.12341/jssms11991
M3 - Journal article
VL - 32
SP - 1343
EP - 1353
JO - Journal of Systems Science and Mathematical Sciences
JF - Journal of Systems Science and Mathematical Sciences
IS - 11
ER -