A Unified Practical Predefined-Time Interval Type-2 Fuzzy NN-Based Fault-Tolerant Control for Robotic Manipulators

Fast response and safety operation are essential requirements for the tracking control of robotic manipulators. In this article, a unified predefined-time self-organizing interval type-2 fuzzy neural network control (SOIT2FNNC) framework is presented for robotic manipulators subject to actuator fail...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 33; číslo 9; s. 3267 - 3280
Hlavní autori:	Zhao, Tao, Tian, Shiyu, Cheng, Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2025
Predmet:	Actuators Control design Convergence Fault tolerance Fault tolerant systems Fault-tolerant control (FTC) Fuzzy control Fuzzy neural networks Manipulator dynamics model-free control predefined-time control robotic manipulators Robots self-organizing interval type-2 fuzzy neural network Uncertainty
ISSN:	1063-6706, 1941-0034
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