A fuzzy Kalman filter optimized using a genetic algorithm for accurate navigatlon of an autonomous underwater vehicle

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 21, 2003, Pages 1-6

  Loebis, D ^a   Chudley, J ^a   Sutton, R ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Autonomous underwater vehicles; Extended Kalman filters; Fuzzy logic; Genetic algorithm; Kalman filters; Navigation; Sensor fusion

Indexed keywords

AIR NAVIGATION; AUTONOMOUS UNDERWATER VEHICLES; AUTONOMOUS VEHICLES; EXTENDED KALMAN FILTERS; FUZZY INFERENCE; FUZZY LOGIC; GENETIC ALGORITHMS; GLOBAL POSITIONING SYSTEM; HEURISTIC METHODS; INERTIAL NAVIGATION SYSTEMS; KALMAN FILTERS; MEMBERSHIP FUNCTIONS; NAVIGATION;

DIVERGENCE PROBLEMS; FUZZY KALMAN FILTERS; FUZZY MEMBERSHIP FUNCTION; INERTIAL NAVIGATION SYSTEMS (INS); INTEGRATED NAVIGATION SYSTEMS; LINEAR KALMAN FILTERS; PERFORMANCE CRITERION; SENSOR FUSION;

FUZZY FILTERS;

EID: 84879860468     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)37774-1     Document Type: Conference Paper

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