2023
DOI: 10.1109/tnnls.2022.3155635
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Globally Adaptive Neural Network Output-Feedback Control for Uncertain Nonlinear Systems

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Cited by 5 publications
(2 citation statements)
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“…where ℏ i,2 and / λ i,2 are design parameters that satisfy ℏ i,2 > 0 and / λ i,2 > 0. Replacing these inequalities (30) into Equation ( 28), this yields…”
Section: Adaptive Nn Prescribed Time Control Designmentioning
confidence: 99%
See 1 more Smart Citation
“…where ℏ i,2 and / λ i,2 are design parameters that satisfy ℏ i,2 > 0 and / λ i,2 > 0. Replacing these inequalities (30) into Equation ( 28), this yields…”
Section: Adaptive Nn Prescribed Time Control Designmentioning
confidence: 99%
“…Systems uncertainty is a common situation that can lead to a significant degradation of control performance and may even affect the stability of the systems [27,28]. To end it, many scholars have conducted extensive research on uncertain systems [29][30][31]. NN is a promising tool for unknown uncertainty because of its out of the ordinary approximation ability.…”
Section: Introductionmentioning
confidence: 99%