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

被引：5

作者：

Tsai, Jason Sheng-Hong ^{[1
]}

Liao, Ying-Ting ^{[1
]}

Ebrahimzadeh, Faezeh ^{[1
]}

Lai, Sheng-Ying ^{[1
]}

Su, Te-Jen ^{[2
,3
]}

Guo, Shu-Mei ^{[4
]}

Shieh, Leang-San ^{[5
]}

Tsai, Tzong-Jiy ^{[6
]}

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan, Taiwan

[2] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung, Taiwan

[3] Kaohsiung Med Univ, Grad Inst Clin Med, Kaohsiung, Taiwan

[4] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan, Taiwan

[5] Univ Houston, Dept Elect & Comp Engn, Houston, TX USA

[6] Tung Fang Design Inst, Dept Game & Toy Design, Kaohsiung, Taiwan

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2017年 / 48卷 / 07期

关键词：

Optimal linear quadratic estimator; frequency shaping; PID filter; non-minimum phase system; control zeros; DISTURBANCE CANCELLATION CONTROLLERS; DESIGN; IDENTIFICATION; ZEROS; RECOVERY;

D O I：

10.1080/00207721.2016.1261201

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1438 / 1459

页数：22

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