Combining kernel partial least-squares modeling and iterative learning control for the batch-to-batch optimization of constrained nonlinear processes

Industrial and Engineering Chemistry Research

Volumn 49, Issue 16, 2010, Pages 7470-7477

  Zhang, Yingwei ^a   Fan, Yunpeng ^a   Zhang, Pengchao ^a  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BATCH OPTIMIZATION; BATCH PROCESS; BULK POLYMERIZATION; COMBINING MODEL; CONTROL PROFILES; END-PRODUCTS; ITERATIVE LEARNING CONTROL; MANIPULATED VARIABLES; MODIFIED KERNELS; NEW APPROACHES; NONLINEAR PROCESS; OPTIMAL CONTROLS; OPTIMAL PROBLEMS; PARTIAL LEAST SQUARES; PARTICLE SWARM OPTIMIZATION ALGORITHM; SIMULATION RESULT;

BATCH DATA PROCESSING; CONSTRAINED OPTIMIZATION; CONTROL; MAGNESIUM; STYRENE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77955644611     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie1004702     Document Type: Article

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