TY - GEN
T1 - Knowledge-based framework for controller structure selection in intelligent process control
AU - Rivera, Daniel
AU - Desai, Abhijit
AU - Beaumariage, Terrence
AU - Roberts, Chell
PY - 1993/12/1
Y1 - 1993/12/1
N2 - Intelligent control principles are used to address the issue of combinatorial complexity in controller structure selection for plantwide control, i.e., the variables selection and pairing problem. A knowledge-based framework combining symbolic representation of heuristics and designer expertise, simple analytical 'ranking' criteria, and more elaborate computational routines for selection and pairing is described in this paper. The use of an object-oriented structure leads to a system that is flexible, extensible, and multipurpose, which are features necessary if industrial engineering organizations are to adopt this tool on a routine basis.
AB - Intelligent control principles are used to address the issue of combinatorial complexity in controller structure selection for plantwide control, i.e., the variables selection and pairing problem. A knowledge-based framework combining symbolic representation of heuristics and designer expertise, simple analytical 'ranking' criteria, and more elaborate computational routines for selection and pairing is described in this paper. The use of an object-oriented structure leads to a system that is flexible, extensible, and multipurpose, which are features necessary if industrial engineering organizations are to adopt this tool on a routine basis.
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M3 - Conference contribution
AN - SCOPUS:0027811297
SN - 0780308611
T3 - American Control Conference
SP - 1890
EP - 1894
BT - American Control Conference
A2 - Anon, null
PB - Publ by IEEE
T2 - Proceedings of the 1993 American Control Conference Part 3 (of 3)
Y2 - 2 June 1993 through 4 June 1993
ER -