Neural Network Control of a Robotic Manipulator with Time-Varying Output Constraints by State Feedback * *This work was supported by the National Natural Science Foundation of China under Grant 61522302, 6161101273, the Newton Advanced Fellowship from The Royal Society, UK, under Grant NA160436 the Beijing Natural Science Foundation under Grant 4172041, and the Fundamental Research Funds for the China Central Universities of USTB under Grant FRF-BD-16-005A and FRF-TP-15-005C1.-Reference-Cited by-同舟云学术

Neural Network Control of a Robotic Manipulator with Time-Varying Output Constraints by State Feedback * *This work was supported by the National Natural Science Foundation of China under Grant 61522302, 6161101273, the Newton Advanced Fellowship from The Royal Society, UK, under Grant NA160436 the Beijing Natural Science Foundation under Grant 4172041, and the Fundamental Research Funds for the China Central Universities of USTB under Grant FRF-BD-16-005A and FRF-TP-15-005C1.

Published:2017-07 Issue:1 Volume:50 Page:8969-8974
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Huang Haifeng,He Wei,Zhang Shuang

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference16 articles.

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2. Tracking control of a closed-chain five-bar robot with two degrees of freedom by integration of an approximation-based approach and mechanical design;Cheng;IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics),2012

3. Game theory-based negotiation for multiple robots task allocation;Cui;Robotica,2013

4. Adaptive neural control of uncertain MIMO nonlinear systems;Sam Ge;IEEE Transactions on Neural Networks,2004

5. Neural network control of a rehabilitation robot by state and output feedback;He;Journal of Intelligent & Robotic Systems,2015

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