This paper presents an efficient proportional-plus-integral (PI) current-output observer-based linear quadratic discrete tracker (LQDT) design methodology for the non-minimum-phase (NMP) discrete-time system with equal input and output number, for which the minimalized dynamic system contains the unmeasurable system state and unknown external matched/mismatched input disturbances. Illustrative examples are given to demonstrate the effectiveness of the proposed approach.
Published in | Automation, Control and Intelligent Systems (Volume 5, Issue 2) |
DOI | 10.11648/j.acis.20170502.11 |
Page(s) | 14-28 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
Optimal Linear Quadratic Tracker, State Estimator, Disturbance Estimator, Non-Minimum Phase System, Control Zeros
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APA Style
Jason Sheng-Hong Tsai, Faezeh Ebrahimzadeh, Yun-You Lin, Shu-Mei Guo, Leang-San Shieh, et al. (2017). An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances. Automation, Control and Intelligent Systems, 5(2), 14-28. https://doi.org/10.11648/j.acis.20170502.11
ACS Style
Jason Sheng-Hong Tsai; Faezeh Ebrahimzadeh; Yun-You Lin; Shu-Mei Guo; Leang-San Shieh, et al. An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances. Autom. Control Intell. Syst. 2017, 5(2), 14-28. doi: 10.11648/j.acis.20170502.11
AMA Style
Jason Sheng-Hong Tsai, Faezeh Ebrahimzadeh, Yun-You Lin, Shu-Mei Guo, Leang-San Shieh, et al. An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances. Autom Control Intell Syst. 2017;5(2):14-28. doi: 10.11648/j.acis.20170502.11
@article{10.11648/j.acis.20170502.11, author = {Jason Sheng-Hong Tsai and Faezeh Ebrahimzadeh and Yun-You Lin and Shu-Mei Guo and Leang-San Shieh and Yau-Tarng Juang}, title = {An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances}, journal = {Automation, Control and Intelligent Systems}, volume = {5}, number = {2}, pages = {14-28}, doi = {10.11648/j.acis.20170502.11}, url = {https://doi.org/10.11648/j.acis.20170502.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20170502.11}, abstract = {This paper presents an efficient proportional-plus-integral (PI) current-output observer-based linear quadratic discrete tracker (LQDT) design methodology for the non-minimum-phase (NMP) discrete-time system with equal input and output number, for which the minimalized dynamic system contains the unmeasurable system state and unknown external matched/mismatched input disturbances. Illustrative examples are given to demonstrate the effectiveness of the proposed approach.}, year = {2017} }
TY - JOUR T1 - An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances AU - Jason Sheng-Hong Tsai AU - Faezeh Ebrahimzadeh AU - Yun-You Lin AU - Shu-Mei Guo AU - Leang-San Shieh AU - Yau-Tarng Juang Y1 - 2017/03/22 PY - 2017 N1 - https://doi.org/10.11648/j.acis.20170502.11 DO - 10.11648/j.acis.20170502.11 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 14 EP - 28 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20170502.11 AB - This paper presents an efficient proportional-plus-integral (PI) current-output observer-based linear quadratic discrete tracker (LQDT) design methodology for the non-minimum-phase (NMP) discrete-time system with equal input and output number, for which the minimalized dynamic system contains the unmeasurable system state and unknown external matched/mismatched input disturbances. Illustrative examples are given to demonstrate the effectiveness of the proposed approach. VL - 5 IS - 2 ER -