Genetic fuzzy self-tuning PID controllers for antilock braking systems

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 7, 2010, Pages 1041-1052

  Badie Sharkawy, Abdel ^a  

^a Assiut University   (Egypt)

Author keywords

Antilock braking system (ABS); Braking basics; Decoupled rule bases; Genetic algorithm (GA) and ZieglerNichols (ZN) method; Self tuning; Slip ratio; TakagiSugeno (TS) fuzzy systems

Indexed keywords

ANTILOCK BRAKING SYSTEMS; RULE BASIS; SELFTUNING; SLIP RATIO; TAKAGI SUGENO FUZZY SYSTEMS;

BRAKES; BRAKING; COMPUTER SIMULATION; CONTROLLERS; DIESEL ENGINES; ELECTRIC CONTROL EQUIPMENT; FRICTION; FUZZY SETS; PROPORTIONAL CONTROL SYSTEMS; ROADS AND STREETS; THREE TERM CONTROL SYSTEMS; TUNING; TWO TERM CONTROL SYSTEMS;

GENETIC ALGORITHMS;

EID: 77957888122     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.06.011     Document Type: Article

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