A fuzzy Kalman filter optimized using a multi-objective genetic algorithm for enhanced autonomous underwater vehicle navigation

Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment

Volumn 218, Issue 1, 2004, Pages 53-69

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

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

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

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GLOBAL POSITIONING SYSTEM; MATHEMATICAL MODELS; OPTIMIZATION; UNDERWATER EQUIPMENT; AIR NAVIGATION; AUTONOMOUS UNDERWATER VEHICLES; DATA INTEGRATION; EXTENDED KALMAN FILTERS; FUZZY FILTERS; FUZZY INFERENCE; FUZZY LOGIC; GENETIC ALGORITHMS; HEURISTIC METHODS; INERTIAL NAVIGATION SYSTEMS; KALMAN FILTERS; MEMBERSHIP FUNCTIONS; NAVIGATION; TRACKING (POSITION); VEHICLES;

FUZZY KALMAN FILTERS; INERTIAL NAVIGATION SUBSYSTEMS; UNDERWATER VEHICLES;

KALMAN FILTERING; NAVIGATION SYSTEMS;

FUZZY MEMBERSHIP FUNCTION; INERTIAL NAVIGATION SUBSYSTEMS; INTEGRATED NAVIGATION SYSTEMS; MULTI-OBJECTIVE GENETIC ALGORITHM; NAVIGATION PERFORMANCE; OF AUTONOMOUS UNDERWATER VEHICLES; SENSOR FUSION; UNDERWATER VEHICLE NAVIGATION;

EID: 24644453076     PISSN: 14750902     EISSN: None     Source Type: Journal    
DOI: 10.1243/147509004774048578     Document Type: Article

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