Online data-driven incremental life-long learning control for uncertain robotic manipulators via self-evolving interval type-2 fuzzy systems

In this article, a novel self-evolving interval type-2 fuzzy systems based incremental life-long learning controller (SEIT2FS-ILLC) is proposed for robotic manipulators with unmodeled dynamics and external disturbance. The proposed controller structure that combines PID controller and SEIT2FS in par...

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Vydané v:	Nonlinear dynamics Ročník 113; číslo 17; s. 23225 - 23244
Hlavní autori:	Su, Qinyin, Zhao, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Nature B.V 01.09.2025
Predmet:	Controllers Data processing Design Distance learning Fuzzy logic Fuzzy sets Fuzzy systems Lifelong learning Manipulators Mathematical models Methods Neural networks Proportional integral derivative Robot arms Robot control Robotics Stability Transient performance Unmanned aerial vehicles
ISSN:	0924-090X, 1573-269X
On-line prístup:	Získať plný text
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