Improved finite-time solutions to time-varying Sylvester tensor equation via zeroing neural networks

DOI10.1016/j.amc.2021.126760OpenAlexW3211420099MaRDI QIDQ2060219

Lei Jia, Sai Liu, Lin Xiao, XiaoPeng Li

Publication date: 13 December 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126760

zbMATH Keywords

finite-time convergencetime-varying Sylvester tensor equationvarying parameterzeroing neural networks

Mathematics Subject Classification ID

Numerical linear algebra (65Fxx) Basic linear algebra (15Axx) Controllability, observability, and system structure (93Bxx)

Related Items (2)

Finite-time zeroing neural networks with novel activation function and variable parameter for solving time-varying Lyapunov tensor equation ⋮ Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations

Cites Work

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