Adaptive interval type-2 fuzzy neural network nonsingular fast terminal sliding mode control for cable-driven parallel robots

Since the cable-driven parallel robots (CDPRs) are subject to the model uncertainty and external disturbances with high nonlinearity, classic trajectory tracking control approaches cannot guarantee a finite-time and robust controlling performance. To solve this problem, the paper proposes a novel ad...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 136; s. 108963
Hlavní autoři:	Oghabi, Emad, Kardehi Moghaddam, Reihaneh, Kobravi, Hamid Reza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.10.2024
Témata:	Cable-driven parallel robot Finite-time stability Interval type-2 fuzzy systems Neural networks Sliding mode control Interval type-2 fuzzy systems Finite-time stability Neural networks Sliding mode control Cable-driven parallel robot
ISSN:	0952-1976
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