A generalised optimal linear quadratic tracker with universal applications – part 1: continuous-time systems
Faezeh Ebrahimzadeh,
Jason Sheng-Hong Tsai,
Ying Ting Liao,
Min-Ching Chung,
Shu-Mei Guo,
Leang-San Shieh and
Li Wang
International Journal of Systems Science, 2017, vol. 48, issue 2, 376-396
Abstract:
This paper presents a generalised optimal linear quadratic analog tracker (LQAT) with universal applications for the continuous-time (CT) systems. This includes: (1) a generalised optimal LQAT 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 LQAT design for non-square non-minimum phase CT systems to achieve a minimum phase-like tracking performance; (3) a new approach for computing the control zeros of the given non-square CT system; and (4) a one-learning-epoch input-constrained iterative learning LQAT design for the repetitive CT system.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:48:y:2017:i:2:p:376-396
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DOI: 10.1080/00207721.2016.1186239
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