AI helps you reading Science

AI generates interpretation videos

AI extracts and analyses the key points of the paper to generate videos automatically

Go Generating

AI Traceability

AI parses the academic lineage of this thesis

Generate MRT

Sliding Mode Control with Gaussian Process Regression for Underwater Robots

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, no. SP3-4 (2020): 487.0-498.0

Cited: 0|Views21

Full Text

View via Publisher

Other Links

academic.microsoft.com dblp.uni-trier.de

Bibtex

Keywords

Sliding mode controlGaussian process regressionUnderwater robotic vehicleDynamic positioning system

Abstract

Sliding mode control is a very effective strategy in dealing not only with parametric uncertainties, but also with unmodeled dynamics, and therefore has been widely applied to robotic agents. However, the adoption of a thin boundary layer neighboring the switching surface to smooth out the control law and to eliminate the undesired chatte...More

Code:

Data:

Full Text

PPT (Upload PPT)

Author

Gabriel S. Lima

Sebastian Trimpe

[0]

Wallace M. Bessa

[0]

Your rating :

No Ratings