Title :
Polynomial matrices for the design of multivariable control systems using symbolic computation
Author :
Ogunye, Ayowale B. ; Penlidis, A. ; Reilly, P.M.
Author_Institution :
Comput. & Inf. Technol. Lab., Dow Chem. Co., Midland, MI, USA
fDate :
31 Mar-2 Apr 1996
Abstract :
This paper describes a collection of algorithms developed in a computer algebra package (MapleV) using polynomial matrix theory. The developed algorithms provide a medium in which polynomial matrix operations are carried out. Most importantly, these polynomid matrix procedures, enable the design and analysis of multivariable control systems using the algebraic or polynomial equation approach. This algebraic design would have been extremely difficult to carry out in a strict numeric computing environment. The use of MapleV has provided symbolic results quickly and efficiently, with a tremendous gain in time and with minimal effort
Keywords :
control system CAD; control system analysis computing; multivariable control systems; polynomial matrices; software packages; symbol manipulation; MapleV; computer algebra package; multivariable control systems; polynomial matrices; strict numeric computing environment; symbolic computation; Algebra; Chemical engineering; Chemical technology; Control systems; Information technology; Laboratories; Nonlinear equations; Packaging; Polynomials; State-space methods;
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
Print_ISBN :
0-8186-7352-4
DOI :
10.1109/SSST.1996.493563