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Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self-Str...

Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self-Str...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8526255

Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self-Structuring Neural Networks

About this item

Full title

Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self-Structuring Neural Networks

Author / Creator

Publisher

New York: Hindawi

Journal title

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.1277349-1277349

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

This article studies the robust tracking control problems of Euler–Lagrange (EL) systems with uncertainties. To enhance the robustness of the control systems, an asymmetric tan-type barrier Lyapunov function (ATBLF) is used to dynamic constraint position tracking errors. To deal with the problems of the system uncertainties, the self-structuring ne...

Alternative Titles

Full title

Robust Tracking Control of the Euler–Lagrange System Based on Barrier Lyapunov Function and Self-Structuring Neural Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8526255

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8526255

Other Identifiers

ISSN

1687-5265

E-ISSN

1687-5273

DOI

10.1155/2021/1277349

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