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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Bibliographic Details
Published in:	Nonlinear dynamics Vol. 113; no. 17; pp. 23225 - 23244
Main Authors:	Su, Qinyin, Zhao, Tao
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01.09.2025
Subjects:	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
Online Access:	Get full text
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