Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation

Although time-variant nonlinear optimization with equality and inequality constraints (TVNOEIC) is a widespread problem in real life, the research on this issue is much less than the time-invariant one. Large lagging errors may not be inevitable if the traditional models designed for time-invariant...

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Vydané v:	IEEE transactions on industrial informatics Ročník 18; číslo 9; s. 1
Hlavní autori:	Liu, Mei, Zhang, Xiaoyan, Shang, Mingsheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Computational modeling Constraints equality and inequality constraints Informatics Invariants Mathematical models Neural networks noise-suppressing discrete-time neural dynamics (NSDTND) model Numerical models Optimization Perturbation Robustness (mathematics) Time-variant nonlinear optimization Vehicle dynamics
ISSN:	1551-3203, 1941-0050
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