TY - GEN

T1 - Two degree-of-freedom of self-tuning generalized predictive control based on state space 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 self-tuning GPC system 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 self-tuning GPC system is obtained by using a genetic algorithm for selection of integral gain.

UR - http://www.scopus.com/inward/record.url?scp=70349138849&partnerID=8YFLogxK

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U2 - 10.1109/ICNSC.2009.4919311

DO - 10.1109/ICNSC.2009.4919311

M3 - Conference contribution

AN - SCOPUS:70349138849

SN - 9781424434923

T3 - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

SP - 410

EP - 415

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 -