Prescribed time convergence and robust zeroing neural network for solving time-varying linear matrix equation

DOI10.1080/00207160.2023.2170178MaRDI QIDQ6106734

Unnamed Author, Jing-Yu Wang, Ke Zhang, Minghu Tan

Publication date: 3 July 2023

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

zbMATH Keywords

strong robustnesszeroing neural networktime-varying linear matrix equationnovel activation functionprescribed time convergence

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
• A novel robust fixed-time convergent zeroing neural network for solving time-varying noise-polluted nonlinear equations
• A noise-tolerant fast convergence ZNN for dynamic matrix inversion
• Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations

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