Neural network-based sliding mode adaptive control for robot manipulators

Neurocomputing

Volumn 74, Issue 14-15, 2011, Pages 2377-2384

  Sun, Tairen ^a   Pei, Hailong ^a   Pan, Yongping ^a   Zhou, Hongbo ^a   Zhang, Caihong ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Neural network (NN); Output feedback control; Robot manipulators; Sliding mode adaptive control

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE OBSERVER; ADAPTIVE OUTPUT-FEEDBACK CONTROL; ADAPTIVE TECHNIQUE; ESTIMATION ERRORS; LYAPUNOV THEORIES; NETWORK-BASED; OUTPUT FEEDBACK CONTROLS; ROBOT MANIPULATOR; ROBOT MANIPULATORS; SLIDING MODE ADAPTIVE CONTROL; SLIDING MODE TECHNIQUES; SLIDING MODES; TRACKING ERRORS; TRAJECTORY TRACKING; TRAJECTORY TRACKING ERRORS; TRAJECTORY TRACKING PROBLEMS;

ERRORS; FEEDBACK CONTROL; FLEXIBLE MANIPULATORS; INDUSTRIAL ROBOTS; LYAPUNOV METHODS; MODULAR ROBOTS; NEURAL NETWORKS; ROBOT APPLICATIONS; ROBUST CONTROL; TRAJECTORIES;

ADAPTIVE CONTROL SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; FEEDBACK SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOTOR CONTROL; PRIORITY JOURNAL; ROBOTICS; UNCERTAINTY;

EID: 79957956782     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.015     Document Type: Article

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