TY - GEN
T1 - Control for unknown linear systems preceded by hysteresis represented by preisach model
AU - Chen, Xinkai
PY - 2013
Y1 - 2013
N2 - In this paper, an implicit inversion of the hysteresis described by Preisach model is introduced to avoid difficulties of the directly inverse construction for this kind of complex hysteresis models. Based on this inversion, the adaptive control for unknown linear dynamical systems preceded with hysteresis described by Presaich model is formulated. The stability of the controlled systems is analyzed and zero output tracking error can be eventually achieved. Finally, the proposed algorithm is applied to the position control of the nano-stage driven by magnetostrictive actuator.
AB - In this paper, an implicit inversion of the hysteresis described by Preisach model is introduced to avoid difficulties of the directly inverse construction for this kind of complex hysteresis models. Based on this inversion, the adaptive control for unknown linear dynamical systems preceded with hysteresis described by Presaich model is formulated. The stability of the controlled systems is analyzed and zero output tracking error can be eventually achieved. Finally, the proposed algorithm is applied to the position control of the nano-stage driven by magnetostrictive actuator.
UR - http://www.scopus.com/inward/record.url?scp=84902308630&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2013.6760944
DO - 10.1109/CDC.2013.6760944
M3 - Conference contribution
AN - SCOPUS:84902308630
SN - 9781467357173
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6664
EP - 6669
BT - 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd IEEE Conference on Decision and Control, CDC 2013
Y2 - 10 December 2013 through 13 December 2013
ER -