Adaptive sliding mode control of manipulator based on RBF network minimum parameter learning method

DOI10.1080/09720529.2016.1139857zbMath1496.93013OpenAlexW2403706781MaRDI QIDQ5069770

Yongfeng Cui, Chong Tian

Publication date: 19 April 2022

Published in: Journal of Discrete Mathematical Sciences and Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09720529.2016.1139857

zbMATH Keywords

adaptive sliding mode controlsingle parameterRBF networkposition tracking curvespeed tracking curve

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Decentralized systems (93A14) Variable structure systems (93B12)

Related Items (1)

Adaptive neural sliding mode control of uncertain robotic manipulators with predefined time convergence

Cites Work

• Variable structure systems: Present and future
• Control of a first order delayed system by means of an astatic regulator and nonlinear correction
• Sliding modes in control and optimization. Transl. from the Russian
• Producing astaticism in servosystems with a variable structure
• Application of equivalent control method to the systems with large feedback gain
• Variable structure systems with sliding modes

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