Creating a sliding mode in a motion control system by adopting a dynamic defuzzification strategy in an adaptive neuro fuzzy inference system

IECON Proceedings (Industrial Electronics Conference)

Volumn 1, Issue , 2000, Pages 894-899

  Efe, M Onder ^a   Kaynak, Okyay ^a   Wilamowski, Bogdan M ^b  

^a BOGAZICI UNIVERSITY   (Turkey)

^b UNIVERSITY OF WYOMING   (United States)

Author keywords

Adaptive systems; Control systems; Fuzzy neural networks; Fuzzy systems; Manipulator dynamics; Motion control; Neural networks; Robots; Robustness; Sliding mode control

Indexed keywords

ADAPTIVE SYSTEMS; CONTROL SYSTEMS; FEEDBACK CONTROL; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INDUSTRIAL ELECTRONICS; INTELLIGENT AGENTS; MANIPULATORS; MOTION CONTROL; NEURAL NETWORKS; ROBOTS; ROBUSTNESS (CONTROL SYSTEMS); SLIDING MODE CONTROL;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CONTROL INPUTS; DEFUZZIFICATIONS; DYNAMIC ADAPTATIONS; FUZZY INFERENCE SYSTEMS; MANIPULATOR DYNAMICS; NOISY OBSERVATIONS; SLIDING MODES;

ADAPTIVE CONTROL SYSTEMS;

EID: 84969141803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2000.972241     Document Type: Conference Paper

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