TY - JOUR
T1 - A generalised optimal linear quadratic tracker with universal applications. Part 2
T2 - discrete-time systems
AU - Ebrahimzadeh, Faezeh
AU - Tsai, Jason Sheng Hong
AU - Chung, Min Ching
AU - Liao, Ying Ting
AU - Guo, Shu Mei
AU - Shieh, Leang San
AU - Wang, Li
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/1/25
Y1 - 2017/1/25
N2 - Contrastive to Part 1, Part 2 presents a generalised optimal linear quadratic digital tracker (LQDT) with universal applications for the discrete-time (DT) systems. This includes (1) a generalised optimal LQDT design for the system with the pre-specified trajectories of the output and the control input and additionally with both the input-to-output direct-feedthrough term and known/estimated system disturbances or extra input/output signals; (2) a new optimal filter-shaped proportional plus integral state-feedback LQDT design for non-square non-minimum phase DT systems to achieve a minimum-phase-like tracking performance; (3) a new approach for computing the control zeros of the given non-square DT systems; and (4) a one-learning-epoch input-constrained iterative learning LQDT design for the repetitive DT systems.
AB - Contrastive to Part 1, Part 2 presents a generalised optimal linear quadratic digital tracker (LQDT) with universal applications for the discrete-time (DT) systems. This includes (1) a generalised optimal LQDT design for the system with the pre-specified trajectories of the output and the control input and additionally with both the input-to-output direct-feedthrough term and known/estimated system disturbances or extra input/output signals; (2) a new optimal filter-shaped proportional plus integral state-feedback LQDT design for non-square non-minimum phase DT systems to achieve a minimum-phase-like tracking performance; (3) a new approach for computing the control zeros of the given non-square DT systems; and (4) a one-learning-epoch input-constrained iterative learning LQDT design for the repetitive DT systems.
UR - https://www.scopus.com/pages/publications/84973130371
UR - https://www.scopus.com/pages/publications/84973130371#tab=citedBy
U2 - 10.1080/00207721.2016.1186240
DO - 10.1080/00207721.2016.1186240
M3 - Article
AN - SCOPUS:84973130371
SN - 0020-7721
VL - 48
SP - 397
EP - 416
JO - International Journal of Systems Science
JF - International Journal of Systems Science
IS - 2
ER -