Sliding mode control theory-based algorithm for online learning in type-2 fuzzy neural networks: Application to velocity control of an electro hydraulic servo system

International Journal of Adaptive Control and Signal Processing

Volumn 26, Issue 7, 2012, Pages 645-659

  Kayacan, Erdal ^a   Kaynak, Okyay ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

Author keywords

electro hydraulic servo system; sliding mode control; type 2 fuzzy logic systems; type 2 fuzzy neuro systems

Indexed keywords

CONVENTIONAL CONTROLLERS; CRISP NUMBERS; ELECTRO HYDRAULIC SERVO SYSTEM; ERROR FUNCTION; FLOW NON-LINEARITY; FUZZY LOGIC SYSTEM; FUZZY NEURO; LYAPUNOV STABILITY; ONLINE LEARNING; SIMPLE STRUCTURES; SIMULATION STUDIES; TRIANGULAR MEMBERSHIP FUNCTIONS; TYPE-2 FUZZY LOGIC SYSTEM; TYPE-2 FUZZY SET;

ABILITY TESTING; ADAPTIVE CONTROL SYSTEMS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; HYDRAULIC SERVOMECHANISMS; SLIDING MODE CONTROL; VELOCITY CONTROL;

LEARNING ALGORITHMS;

EID: 84863827986     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.1292     Document Type: Article

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