ZNN for solving online time-varying linear matrix-vector inequality via equality conversion

DOI10.1016/j.amc.2015.02.060zbMath1390.15048OpenAlexW1981824673MaRDI QIDQ1636853

Yu-Nong Zhang, Dong-Sheng Guo

Publication date: 7 June 2018

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

Full work available at URL: https://doi.org/10.1016/j.amc.2015.02.060

zbMATH Keywords

conversiontime-varyinglinear matrix-vector inequality (LMVI)Zhang neural network (ZNN)ZNN design formula

Mathematics Subject Classification ID

Theory of matrix inversion and generalized inverses (15A09) Linear inequalities of matrices (15A39) Neural networks for/in biological studies, artificial life and related topics (92B20) Matrix equations and identities (15A24)

Related Items (8)

A novel robust fixed-time convergent zeroing neural network for solving time-varying noise-polluted nonlinear equations ⋮ Zhang neural networks for a set of linear matrix inequalities with time-varying coefficient matrix ⋮ A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion ⋮ A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion ⋮ Four discrete-time ZD algorithms for dynamic linear matrix-vector inequality solving ⋮ Prescribed-time robust ZNN models for solving equality and inequality systems ⋮ Finite-time zeroing neural networks with novel activation function and variable parameter for solving time-varying Lyapunov tensor equation ⋮ Continuous and discrete zeroing neural dynamics handling future unknown-transpose matrix inequality as well as scalar inequality of linear class

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