Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm

Neurocomputing

Volumn 74, Issue 11, 2011, Pages 1883-1893

  Topalov, Andon V ^a   Oniz, Yesim ^b   Kayacan, Erdal ^b   Kaynak, Okyay ^b  

^a TECHNICAL UNIVERSITY OF SOFIA   (Bulgaria)

^b BOGAZICI UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy control approach; Antilock braking system (ABS); Sliding mode incremental learning algorithm

Indexed keywords

ADAPTIVE CONTROL; ANTI-LOCK BRAKING; ANTI-LOCK BREAKING SYSTEMS; CONTROL STRUCTURE; CONTROLLED SYSTEM; CONVENTIONAL CONTROLLERS; DIRECT USE; ERROR SIGNAL; EXPERIMENTAL STUDIES; FEEDBACK CONTROLLER; GLOBAL ASYMPTOTIC STABILITY; INCREMENTAL LEARNING; LEARNING ERROR; MODELING ERRORS; NETWORK-BASED; NEURO-FUZZY; NEURO-FUZZY CONTROLLER; NEUROFUZZY CONTROL; REFERENCE MODELS; SLIDING MODE INCREMENTAL LEARNING ALGORITHM; SLIDING MODES; SLIDING MOTIONS; VARIABLE STRUCTURE SYSTEM; WHEEL SLIPS;

ASYMPTOTIC STABILITY; BRAKES; BRAKING; COMPUTER SIMULATION; CONTROLLERS; DYNAMICAL SYSTEMS; ERRORS; FUZZY CONTROL; LEARNING ALGORITHMS; NONLINEAR DYNAMICAL SYSTEMS; PARAMETER ESTIMATION;

ADAPTIVE CONTROL SYSTEMS;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; FEEDBACK SYSTEM; FUZZY SYSTEM; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NETWORK LEARNING; PRIORITY JOURNAL; PROCESS DESIGN; SIGNAL PROCESSING;

EID: 79956045293     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.07.035     Document Type: Article

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