A generalised optimal linear quadratic tracker with universal applications. Part 2: discrete-time systems. Issue 2 (25th January 2017)

• Record Type: Journal Article
• Authors: Ebrahimzadeh, Faezeh; Tsai, Jason Sheng-Hong; Chung, Min-Ching; Liao, Ying Ting; Guo, Shu-Mei; Shieh, Leang-San; Wang, Li
• Is Part Of: International journal of systems science. Volume 48:Issue 2(2017)
• Page Start: 397
• Page End: 416
• Publication Date: 2017-01-25
• Subjects: Optimal linear quadratic servomechanism -- frequency shaping -- optimal iterative learning control -- model predictive control -- PID control -- control zeros; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2016.1186240
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: 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.