TY - GEN
T1 - Decentralized input-constraint trackers for unknown large-scale interconnected sampled-data systems with state delay
AU - Du, Yan Yi
AU - Tsai, Jason Sheng Hong
AU - Chen, Yi Hsuan
AU - Guo, Shu Mei
AU - Shieh, Leang San
PY - 2010
Y1 - 2010
N2 - Decentralized modeling and linear observers/input constraint trackers for a more general class of unknown large-scale interconnected sampled-data linear systems with state delay and closed-loop decoupling property are proposed in this paper. First, the off-line observer/Kalman filter identification (OKID) method is used to determine the appropriate (low-) order decentralized linear observers for the unknown large-scale interconnected sampled-data linear system with state delay. Then, a digital redesign approach with the high-gain property is applied to overcome the modeling error of the above observers effectively. Moreover, a digital-redesign observer-based linear quadratic digital tracker with high-gain property for the sampled-data system is presented, and it provides high performance on trajectory tracking with the closed-loop decoupling property. Finally, to reduce the magnitude of control input, which is caused by the high-gain property to fit the requirement of the input constraint, the modified linear quadratic digital tracker (LQDT) is proposed. And the control input can be compressed effectively without losing the original high performance of tracking much.
AB - Decentralized modeling and linear observers/input constraint trackers for a more general class of unknown large-scale interconnected sampled-data linear systems with state delay and closed-loop decoupling property are proposed in this paper. First, the off-line observer/Kalman filter identification (OKID) method is used to determine the appropriate (low-) order decentralized linear observers for the unknown large-scale interconnected sampled-data linear system with state delay. Then, a digital redesign approach with the high-gain property is applied to overcome the modeling error of the above observers effectively. Moreover, a digital-redesign observer-based linear quadratic digital tracker with high-gain property for the sampled-data system is presented, and it provides high performance on trajectory tracking with the closed-loop decoupling property. Finally, to reduce the magnitude of control input, which is caused by the high-gain property to fit the requirement of the input constraint, the modified linear quadratic digital tracker (LQDT) is proposed. And the control input can be compressed effectively without losing the original high performance of tracking much.
UR - http://www.scopus.com/inward/record.url?scp=79955971163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955971163&partnerID=8YFLogxK
U2 - 10.2316/P.2010.702-012
DO - 10.2316/P.2010.702-012
M3 - Conference contribution
AN - SCOPUS:79955971163
SN - 9780889868571
T3 - Proceedings of the IASTED International Conference on Modelling, Identification and Control
SP - 311
EP - 317
BT - Proceedings of the 30th IASTED Conference on Modelling, Identification, and Control, AsiaMIC 2010
T2 - 30th IASTED Conference on Modelling, Identification, and Control, AsiaMIC 2010
Y2 - 24 November 2010 through 26 November 2010
ER -