DocumentCode
358893
Title
Applications of semidefinite programming in process control
Author
Balakrishnan, V. ; Wang, F. ; Vandenberghe, L.
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
5
fYear
2000
fDate
2000
Firstpage
3219
Abstract
A number of important problems from system and control theory can be numerically solved by reformulating them as semidefinite programming (SDP) problems, that is, linear objective minimization with linear matrix inequality constraints. The objective of the article is to provide a brief introduction to SDP and its application to problems from chemical process control
Keywords
chemical technology; mathematical programming; matrix algebra; minimisation; process control; chemical process control; linear matrix inequality constraints; linear objective minimization; semidefinite programming; Application software; Constraint theory; Control systems; Control theory; Linear matrix inequalities; Linear programming; Matrix converters; Optimization methods; Process control; Riccati equations;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2000. Proceedings of the 2000
Conference_Location
Chicago, IL
ISSN
0743-1619
Print_ISBN
0-7803-5519-9
Type
conf
DOI
10.1109/ACC.2000.879159
Filename
879159
Link To Document