TY - GEN
T1 - Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm
AU - Yanou, Akira
PY - 2009/9/21
Y1 - 2009/9/21
N2 - Generalized Predictive Control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.
AB - Generalized Predictive Control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.
UR - http://www.scopus.com/inward/record.url?scp=70349124164&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349124164&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2009.4919325
DO - 10.1109/ICNSC.2009.4919325
M3 - Conference contribution
AN - SCOPUS:70349124164
SN - 9781424434923
T3 - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
SP - 492
EP - 497
BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
T2 - 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Y2 - 26 March 2009 through 29 March 2009
ER -