Alternative model structure with simplistic noise model to identify linear time invariant systems subjected to non-stationary disturbances

Journal of Process Control

Volumn 19, Issue 6, 2009, Pages 964-977

  Karra, Srinivas ^a   Karim, M Nazmul ^a  

^a Texas Tech University   (United States)

Author keywords

Extended ARMAX; Extended OE; Unknown disturbance estimation

Indexed keywords

CHEMICAL PROCESS INDUSTRIES; EXTENDED ARMAX; EXTENDED OE; EXTERNAL DISTURBANCES; FORGETTING FACTORS; INPUT-OUTPUT DYNAMICS; LINEAR PROCESS; LINEAR TIME INVARIANT SYSTEMS; LINEAR TIME INVARIANTS; LOSS FUNCTIONS; MODEL FRAMEWORKS; MODEL-ORDER SELECTIONS; NOISE MODELS; NON STATIONARIES; PARAMETERIZED MODELS; PRACTICAL ISSUES; PROCESS DYNAMICS; SIMPLE SYSTEMS; SIMULATION STUDIES; TIME-DELAY ESTIMATIONS; TIME-VARYING; TIME-VARYING PROCESS; UNBIASED ESTIMATIONS; UNKNOWN DISTURBANCE ESTIMATION;

CHEMICAL INDUSTRY; DYNAMICS; INVARIANCE; LINEAR SYSTEMS; MODEL STRUCTURES; NONLINEAR CONTROL SYSTEMS; TIME DELAY;

ESTIMATION;

EID: 67349173171     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2008.12.007     Document Type: Article

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