Predictive control of batch processes using principal surface/space analysis and fuzzy clustering empirical models

Proceedings of the American Control Conference

Volumn 2, Issue , 2001, Pages 1005-1009

  Tsai, P F ^a   Jang, S S ^a   Shieh, S S ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FUZZY CONTROL; FUZZY SETS; NONLINEAR CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; STATISTICAL PROCESS CONTROL;

BATCH PROCESS; FUZZY CLUSTERING EMPIRICAL MODELS; PRINCIPAL SPACE ANALYSIS; PRINCIPAL SURFACE ANALYSIS;

CONTROL SYSTEM SYNTHESIS;

EID: 0034857716     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Principal curves
2. Robust locally weighted regression and smoothing scatterplots
3. Modeling chemical processes using prior knowledge and neural networks
4. Nonlinear principal component analysis-based on principal curve and neural networks
5. Identification of faulty sensors using principal component analysis