Self-organizing adaptive neural fuzzy control for electrically driven robot manipulators

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 222, Issue 4, 2008, Pages 231-246

  Chen, C S ^a  

^a DA YEH UNIVERSITY   (Taiwan)

Author keywords

Adaptive control; Neural fuzzy network (NFN); Robot manipulator; Self organizing network

Indexed keywords

CONTROL THEORY; FLEXIBLE MANIPULATORS; FUZZY CONTROL; FUZZY INFERENCE; FUZZY LOGIC; INDUSTRIAL ROBOTS; LAWS AND LEGISLATION; MANIPULATORS; MILITARY DATA PROCESSING; MODULAR ROBOTS; PARAMETER ESTIMATION; ROBOT APPLICATIONS; ROBOTICS; ROBOTS; TEMPERATURE CONTROL; TRACKING (POSITION); UNCERTAINTY ANALYSIS;

ADAPTIVE TUNING; APPROXIMATION ERRORS; CONTROL SCHEMES; DATA SETS; DIRECT-CURRENT SERVOMOTORS; LYAPUNOV SYNTHESIS; MOTOR DYNAMICS; NETWORK CONVERGENCE; NETWORK PARAMETERS; NETWORK STRUCTURES; NEURAL FUZZY; NEURAL FUZZY NETWORKS; OVER-FITTING; PARAMETER LEARNING PHASES; POSITION TRACKING; ROBOT MANIPULATORS; SELF ORGANIZING; STABLE CONTROL; SUPERVISORY CONTROLLERS; SYSTEM UNCERTAINTIES; TRACKING ERRORS; TRAJECTORY TRACKING; TWO-LINK;

ADAPTIVE CONTROL SYSTEMS;

EID: 46949102046     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/09596518JSCE483     Document Type: Article

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