A new PI optimal linear quadratic state-estimate tracker for continuous-time non-square non-minimum phase systems

Jason Sheng Hong Tsai, Ying Ting Liao, Faezeh Ebrahimzadeh, Sheng Ying Lai, Te Jen Su, Shu Mei Guo, Leang San Shieh, Tzong Jiy Tsai

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1438-1459
Number of pages22
JournalInternational Journal of Systems Science
Volume48
Issue number7
DOIs
Publication statusPublished - 2017 May 19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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