Adaptive learning with large variability of teaching signals for neural networks and its application to motion control of an industrial robot

International Journal of Automation and Computing

Volumn 8, Issue 1, 2011, Pages 54-61

  Nagata, Fusaomi ^a   Watanabe, Keigo ^b  

^a TOKYO UNIVERSITY OF SCIENCE   (Japan)

^b OKAYAMA UNIVERSITY   (Japan)

Author keywords

adaptive learning; large scale teaching signal; Neural networks; nonlinear control; PUMA560 manipulator; servo system; sigmoid function; trajectory following control

Indexed keywords

ADAPTIVE LEARNING; LARGE-SCALE TEACHING SIGNAL; NON LINEAR CONTROL; PUMA560 MANIPULATOR; SERVO SYSTEM; SIGMOID FUNCTION; TRAJECTORY FOLLOWING CONTROL;

COMPUTER SIMULATION; CONTROLLERS; FEEDFORWARD CONTROL; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; MANIPULATORS; MECHANICAL VARIABLES CONTROL; PROPORTIONAL CONTROL SYSTEMS; RECURRENT NEURAL NETWORKS; ROBOTICS;

ADAPTIVE CONTROL SYSTEMS;

EID: 79952341402     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-010-0554-0     Document Type: Article

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