TY - GEN
T1 - An extension of two degree-of-freedom of self-tuning GPC based on state-space approach using coprime factorization approach
AU - Yanou, Akira
AU - Inoue, Akira
AU - Masuda, Shiro
PY - 2007/10/1
Y1 - 2007/10/1
N2 - This paper proposes an extension of two degree-of-freedom of self-tuning generalized predictive control (GPC) based on state-space approach by using coprime factorization approach. The extended controller has new design parameter which can change controller poles without changing closed-loop poles. When the identified plant parameters converge on true values and the control system has no perturbation, performance degradation due to an integral compensation, such as an excessive control effort, can be avoided.
AB - This paper proposes an extension of two degree-of-freedom of self-tuning generalized predictive control (GPC) based on state-space approach by using coprime factorization approach. The extended controller has new design parameter which can change controller poles without changing closed-loop poles. When the identified plant parameters converge on true values and the control system has no perturbation, performance degradation due to an integral compensation, such as an excessive control effort, can be avoided.
UR - http://www.scopus.com/inward/record.url?scp=34748838364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34748838364&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2007.372836
DO - 10.1109/ICNSC.2007.372836
M3 - Conference contribution
AN - SCOPUS:34748838364
SN - 1424410762
SN - 9781424410767
T3 - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
SP - 542
EP - 546
BT - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
T2 - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
Y2 - 15 April 2007 through 17 April 2007
ER -