Robust GRBF static neurocontroller with switch logic for control of robot manipulators

IEEE Transactions on Neural Networks and Learning Systems

Volumn 23, Issue 7, 2012, Pages 1053-1064

  Mulero Martinez, Juan Ignacio ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

Author keywords

Gaussian radial basis function (GRBF) static neurocontroller; robot manipulator; robust control; supervisory control

Indexed keywords

ADAPTIVE TRACKING CONTROL; GAUSSIAN RADIAL BASIS FUNCTIONS; MULTIDIMENSIONAL SYSTEMS; NEURO CONTROLLERS; PROPORTIONAL-DERIVATIVE CONTROLLERS; ROBOT MANIPULATOR; STABILITY AND CONVERGENCE; SUPERVISORY CONTROL;

ALGORITHMS; FLEXIBLE MANIPULATORS; INDUSTRIAL ROBOTS; MECHANICAL PROPERTIES; MODULAR ROBOTS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; ROBOT APPLICATIONS; ROBUST CONTROL;

CONTROLLERS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DEVICES; FEEDBACK SYSTEM; PROCEDURES; ROBOTICS; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); ROBOTICS;

EID: 84876948349     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2196053     Document Type: Article

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