This paper introduces a new discrete-time filter proportional-integral-derivative (FPID) controller framework for linear time-invariant (LTI) systems. The discrete-time FPID controller plays an important role in both determining the dynamic response of the system and further improving the performance of the controller in itself. However, the introduction of the filter parameter brings more challenge for the design of discrete-time FPID controllers than that of discrete-time PID controllers. A novel result on the co-design of such a controller via dominant eigenvalue assignment is first provided, which enables us to tune the controller directly in accordance with the desired system performance indexes. Then, a further result on the discrete-time FPID controller design to improve the dynamic response of the closed-loop system is derived by placing the non-dominant eigenvalues in some assigned region. Compared with the discrete-time PID controller, on the one hand, the discrete-time FPID controller plays a significant role in improving the output of the controller in addition to guaranteeing the desired dynamic performance of the closed-loop system. On the other hand, a discrete-time FPID controller makes it possible to expand the effective parameter region and give a set of parameters which makes the controller achieve the objective of dominant eigenvalue assignment for the closed-loop system when a traditional discrete-time PID controller cannot do. Numerical examples have illustrated the effectiveness of the proposed results. (C) 2020 Elsevier Ltd. All rights reserved.
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Univ Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USAUniv Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USA
Chevalier, Michael
Gomez-Schiavon, Mariana
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Univ Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USAUniv Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USA
Gomez-Schiavon, Mariana
Ng, Andrew H.
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Univ Calif San Francisco, Cell Design Initiat, San Francisco, CA 94150 USAUniv Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USA
Ng, Andrew H.
El-Samad, Hana
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Univ Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USA
Univ Calif San Francisco, Cell Design Initiat, San Francisco, CA 94150 USA
Chan Zuckerberg Biohub, 499 Illinois St, San Francisco, CA 94158 USAUniv Calif San Francisco, Dept Biochem & Biophys, 600 16th St, San Francisco, CA 94158 USA
机构:
Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China
Yeungnam Univ, Dept Elect Engn, Kyonsan 38541, South AfricaNanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China
Shen, Mouquan
Zhang, Tu
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Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R ChinaNanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China
Zhang, Tu
Park, Ju H.
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Yeungnam Univ, Dept Elect Engn, Kyonsan 38541, South AfricaNanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China
Park, Ju H.
Wang, Qing-Guo
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Beijing Normal Univ, Inst Artificial Intelligence & Future Networks, Zhuhai 519087, Peoples R China
HKBU United Int Coll, Guangdong Key Lab AI & Multimodal Data Proc, BNU, Zhuhai 519087, Peoples R ChinaNanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China
Wang, Qing-Guo
Li, Li-Wei
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Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R ChinaNanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China