A conditionally linearized Monte Carlo filter in non-linear structural dynamics

International Journal of Non-Linear Mechanics

Volumn 44, Issue 7, 2009, Pages 776-790

  Sajeeb, R ^a   Manohar, C S ^a   Roy, D ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Ito Taylor expansions; Non linear dynamical systems; Particle filters; State estimation

Indexed keywords

ANALYTICITY; COMPUTATIONAL COSTS; DUFFING OSCILLATOR; ITO-TAYLOR EXPANSIONS; KEY FEATURE; LINEARIZED SYSTEMS; MONTE CARLO FILTERS; MONTE CARLO SIMULATION; NOISY MEASUREMENTS; NON-LINEAR OSCILLATORS; NONLINEAR STRUCTURAL DYNAMICS; PARTICLE FILTER; PARTICLE FILTERS; POSTERIOR DISTRIBUTIONS; PROCESS EQUATION; SAMPLE SPACE; SAMPLE VARIANCE; SEQUENTIAL IMPORTANCE SAMPLING; SIMPLE MODEL; STATE VECTOR; TAYLOR EXPANSIONS;

AIR FILTERS; CONTROL THEORY; DISTRIBUTED COMPUTER SYSTEMS; LINEAR CONTROL SYSTEMS; LINEARIZATION; MOLAR MASS; MONTE CARLO METHODS; NONLINEAR FILTERING; OSCILLATORS (MECHANICAL); PARAMETER ESTIMATION; STATE ESTIMATION; STRUCTURAL DYNAMICS; SWITCHING CIRCUITS; TARGET TRACKING;

DYNAMICAL SYSTEMS;

EID: 67649421615     PISSN: 00207462     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijnonlinmec.2009.04.001     Document Type: Article

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