An exponential varying-parameter neural network for repetitive tracking of mobile manipulators

DOI10.1155/2020/8520835zbMath1451.93255OpenAlexW3086453407WikidataQ115521643 ScholiaQ115521643MaRDI QIDQ2210281

Ruiyang Zhang, Qingqing Tang, Jingsheng Lei, Ying Kong

Publication date: 5 November 2020

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/8520835

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12) Kinematics of mechanisms and robots (70B15)

Cites Work

• A finite-time recurrent neural network for solving online time-varying Sylvester matrix equation based on a new evolution formula
• Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
• Repeatable, extended Jacobian inverse kinematics algorithm for mobile manipulators
• Endogenous configuration space approach to mobile manipulators: A derivation and performance assessment of Jacobian inverse kinematics algorithms
• Repeatability of inverse kinematics algorithms for mobile manipulators

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