Practical issues in state estimation using particle filters: Case studies with polymer reactors

Journal of Process Control

Volumn 23, Issue 2, 2013, Pages 120-131

  Shenoy, A V ^a   Prakash, J ^b   Prasad, V ^a   Shah, S L ^a   McAuley, K B ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ANNA UNIVERSITY   (India)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Extended Kalman filter; Particle filter; Polyethylene fluidized bed reactor; State and parameter estimation; Unscented Kalman filter

Indexed keywords

FLUIDIZED BED REACTORS; NON-GAUSSIAN DISTRIBUTION; PARTICLE FILTER; POINT ESTIMATE; POLYMERIZATION PROCESS; PRACTICAL ISSUES; PROPOSAL DISTRIBUTION; RESAMPLING; STATE DISTRIBUTIONS; UNSCENTED KALMAN FILTER;

CHEMICAL REACTORS; DISTRIBUTED COMPUTER SYSTEMS; EXTENDED KALMAN FILTERS; FLUID CATALYTIC CRACKING; MONTE CARLO METHODS; PARAMETER ESTIMATION; SIGNAL FILTERING AND PREDICTION;

TARGET TRACKING;

EID: 84872921909     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.09.003     Document Type: Conference Paper

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