Interacting multiple particle filters for fault diagnosis of non-linear stochastic systems

Proceedings of the American Control Conference

Volumn , Issue , 2008, Pages 4274-4279

  Wang, Xudong ^a   Syrmos, Vassilis L ^b  

^a UNIVERSITY OF HAWAII   (United States)

^b University of Hawaii at Manoa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; AIR FILTERS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; ELECTRIC FAULT CURRENTS; ESTIMATION; EXTENDED KALMAN FILTERS; HEALTH; KALMAN FILTERS; NONLINEAR ANALYSIS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; WAVE FILTERS;

DIAGNOSTIC APPROACH; EXTENDED KALMAN FILTER (EKF); FAULT DIAGNOSIS; GAUSSIAN; HIGHLY NONLINEAR; INTEGRATED FRAMEWORKS; MULTIPLE-MODEL ESTIMATION; NON-LINEAR; NON-LINEAR ESTIMATION; PARTICLE FILTERING; PARTICLE FILTERING ALGORITHMS; SIMULATION RESULTS; STATE VARIABLES; STOCHASTIC DYNAMIC SYSTEMS; STOCHASTIC SYSTEMS; SYSTEM BEHAVIORS; UNDERLYING DYNAMICS; UNSCENTED KALMAN FILTER; WEIGHTING SCHEMES;

SIGNAL FILTERING AND PREDICTION;

EID: 52449110265     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2008.4587165     Document Type: Conference Paper

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