A new PI optimal linear quadratic state-estimate tracker for continuous-time non-square non-minimum phase systems. Issue 7 (19th May 2017)

• Record Type: Journal Article
• Authors: Tsai, Jason Sheng-Hong; Liao, Ying-Ting; Ebrahimzadeh, Faezeh; Lai, Sheng-Ying; Su, Te-Jen; Guo, Shu-Mei; Shieh, Leang-San; Tsai, Tzong-Jiy
• Is Part Of: International journal of systems science. Volume 48:Issue 7(2017)
• Page Start: 1438
• Page End: 1459
• Publication Date: 2017-05-19
• Subjects: Optimal linear quadratic estimator -- frequency shaping -- PID filter -- non-minimum phase system -- control zeros; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2016.1261201
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: Based on the proportional-integral-derivative (PID) filter-shaping approach, this paper presents a new proportional-plus-integral (PI) optimal linear quadratic state estimator (LQSE) for the continuous-time non-square and non-minimum phase (NMP) multivariable systems. Together with the recently developed optimal linear quadratic tracker (LQT), the proposed LQSE-based tracker is able to optimally achieve good minimum phase-like tracking performances for a non-square NMP multivariable system with unmeasurable states and arbitrary command inputs.