Interval type-2 fuzzy neural network-based adaptive compensation control for omni-directional mobile robot

In order to overcome the influence of model uncertainty and external disturbance on the trajectory tracking accuracy of four-wheel omnidirectional mobile robot (FM-OMR), a new adaptive trajectory tracking control scheme based on interval type 2 fuzzy neural network approximator (IT2FNNA) is proposed...

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Vydáno v:	Neural computing & applications Ročník 35; číslo 16; s. 11653 - 11667
Hlavní autoři:	Qin, Peng, Zhao, Tao, Dian, Songyi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.06.2023 Springer Nature B.V
Témata:	Accuracy Adaptive control Approximation Artificial Intelligence Artificial neural networks Bias Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Fuzzy logic Fuzzy sets Image Processing and Computer Vision Kinematics Mathematical analysis Neural networks Original Article Probability and Statistics in Computer Science Robot control Robot dynamics Robots Tracking control Trajectory control Velocity Wheels Interval type-2 fuzzy neural network Trajectory tracking Omnidirectional mobile robot Fuzzy adaptive compensation
ISSN:	0941-0643, 1433-3058
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