TY - JOUR
T1 - Identification of a multivariable interval dynamic model from measurements in the frequency domain
AU - Zhang, Y. M.
PY - 1998
Y1 - 1998
N2 - Frequently, manufacturing processes cannot be accurately described using a model with fixed parameters. Interval models for which the parameters are within certain intervals may be more effective in describing such processes. In this paper, an algorithm is proposed to identify interval models of multivariable systems from measurements in the frequency domain. The intervals are minimized with membership constraints. The numerical aspects for implementing the proposed algorithm are also addressed. Simulation examples are given to show the effectiveness of the proposed algorithm.
AB - Frequently, manufacturing processes cannot be accurately described using a model with fixed parameters. Interval models for which the parameters are within certain intervals may be more effective in describing such processes. In this paper, an algorithm is proposed to identify interval models of multivariable systems from measurements in the frequency domain. The intervals are minimized with membership constraints. The numerical aspects for implementing the proposed algorithm are also addressed. Simulation examples are given to show the effectiveness of the proposed algorithm.
KW - Identification
KW - Interval model
KW - Robust control
UR - http://www.scopus.com/inward/record.url?scp=0032462584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032462584&partnerID=8YFLogxK
U2 - 10.1243/0954406981521565
DO - 10.1243/0954406981521565
M3 - Article
AN - SCOPUS:0032462584
SN - 0954-4062
VL - 212
SP - 595
EP - 603
JO - Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
JF - Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
IS - 7
ER -