Multiple model LPV approach to nonlinear process identification with em algorithm

Journal of Process Control

Volumn 21, Issue 1, 2011, Pages 182-193

  Jin, Xing ^a   Huang, Biao ^a   Shook, David S ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Expectation maximization method; LPV model; Multiple model; Nonlinear system identification

Indexed keywords

CHEMICAL PROCESS; ECONOMIC CONSIDERATIONS; EM ALGORITHMS; EXCITATION SIGNALS; EXPECTATION-MAXIMIZATION METHOD; GRADE CHANGE; IDENTIFICATION METHOD; IN-PROCESS; LINEAR MODEL; LINEAR PARAMETER VARYING MODELS; LOCAL DYNAMICS; LOCAL MODEL; LPV MODELS; MULTIPLE MODELS; NON-LINEARITY; NONLINEAR PROCESS; NONLINEAR PROCESS IDENTIFICATION; NONLINEAR SYSTEM IDENTIFICATION; NUMERICAL EXAMPLE; OPERATING CONDITION; OPERATING POINTS; PILOT SCALE; PROCESS INPUTS; PROCESS MODELING; TRANSITION DATA; TRANSITION DYNAMICS; WORKING ENVIRONMENT; WORKING POINT;

ALGORITHMS; MATERIALS PROPERTIES; MAXIMUM PRINCIPLE; MULTIVARIABLE CONTROL SYSTEMS; NONLINEAR SYSTEMS; OPTIMIZATION;

NUMERICAL METHODS;

EID: 78751575535     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.11.008     Document Type: Article

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