Bounded Z-type neurodynamics with limited-time convergence and noise tolerance for calculating time-dependent Lyapunov equation

Neurons with graded response have collective computational properties like those of two-state neurons.

J. J. Hopfield · Proceedings of the National Academy of Sciences · 1984 · 7K citations · Full text

Life Sciences, Biology, Neuroscience +15

A Hessenberg-Schur method for the problem AX + XB= C

Gene H. Golub, Stephen Nash, Charles Van Loan · IEEE Transactions on Automatic Control · 1979 · 847 citations

Computing, Computational Engineering, Mathematics +13

A recurrent neural network for solving Sylvester equation with time-varying coefficients

Yunong Zhang, Danchi Jiang, Jun Wang · IEEE Transactions on Neural Networks · 2002 · 660 citations

Natural Sciences, Mathematics, Differential Equations +16

Gradient based iterative algorithms for solving a class of matrix equations

Feng Ding, Tongwen Chen · IEEE Transactions on Automatic Control · 2005 · 497 citations

Computing, Mathematics, Algorithms +14

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

Shuai Li, Sanfeng Chen, Bo Liu · Neural Processing Letters · 2012 · 374 citations

Computing, Mathematics, Algorithms +7