Decentralized robust zero-sum neuro-optimal control for modular robot manipulators in contact with uncertain environments: theory and experimental verification-Reference-Cited by-同舟云学术

Decentralized robust zero-sum neuro-optimal control for modular robot manipulators in contact with uncertain environments: theory and experimental verification

Published:2019-05-21 Issue:1 Volume:97 Page:503-524
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Dong Bo,An Tianjiao,Zhou Fan,Liu Keping,Li Yuanchun^ORCID

Funder

Major Research Plan

Young Scientists Fund

Scientific Technological Development Plan Project in Jilin Province of China

Science and Technology Project of Jilin Provincial Education Department of China during the 13th Five-Year Plan Period

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11071-019-04994-8.pdf

Reference64 articles.

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3. Bajracharya, M., DiCicco, M., Backes, P., Nickels, K.: Visual end-effector position error compensation for planetary robotics. J. Field Robot. 24(5), 399–420 (2007)

4. Bhasin, S., Dupree, K., Patre, P.M., Dixon, W.E.: Neural network control of a robot interacting with an uncertain viscoelastic environment. IEEE Trans. Control Syst. Technol. 19(4), 947–955 (2011)

5. Latornell, D.J., Cherchas, D.B., Wong, R.: Dynamic characteristics of constrained manipulators for contact force control design. Int. J. Robot. Res. 17(3), 211–231 (1998)

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