Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed

DOI10.1007/S00500-018-3020-5zbMath1402.90180OpenAlexW2782747529MaRDI QIDQ1626241

Yang Shi, Yu-Nong Zhang

Publication date: 27 November 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-018-3020-5

zbMATH Keywords

convergenceresidual errornoise suppressiondiscrete time-variant nonlinear optimization (DTVNO)discrete-time advanced zeroing neural-dynamics (DT-AZND)

Mathematics Subject Classification ID

Nonlinear programming (90C30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation ⋮ Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed

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