A "fundamental lemma" for continuous-time systems, with applications to data-driven simulation

被引:8
|
作者
Rapisarda, P. [1 ]
Camlibel, M. K. [2 ]
van Waarde, H. J. [2 ]
机构
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton, England
[2] Univ Groningen, Bernoulli Inst Math Comp Sci & Artificial Intellig, Groningen, Netherlands
关键词
Persistency of excitation; Continuous-time linear time-invariant; systems; Chebyshev polynomials; Data-driven simulation; PERSISTENCY;
D O I
10.1016/j.sysconle.2023.105603
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We are given one input-output (i-o) trajectory (u, y) produced by a linear, continuous time-invariant system, and we compute its Chebyshev polynomial series representation. We show that if the input trajectory u is sufficiently persistently exciting according to the definition in Rapisarda et al. (2023), then the Chebyshev polynomial series representation of every i-o trajectory can be computed from that of (u, y). We apply this result to data-driven simulation of continuous-time systems.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:9
相关论文
共 50 条
  • [31] An equivalent LMI representation of bounded real lemma for continuous-time systems
    Xie, Wei
    JOURNAL OF INEQUALITIES AND APPLICATIONS, 2008, 2008 (1)
  • [32] An Equivalent LMI Representation of Bounded Real Lemma for Continuous-Time Systems
    Wei Xie
    Journal of Inequalities and Applications, 2008
  • [33] A new generalized bounded real lemma for continuous-time descriptor systems
    Wu, Jenq-Lang
    Yung, Chee-Fai
    ASIAN JOURNAL OF CONTROL, 2022, 24 (05) : 2729 - 2737
  • [34] Willems' Fundamental Lemma for Linear Descriptor Systems and Its Use for Data-Driven Output-Feedback MPC
    Schmitz, Philipp
    Faulwasser, Timm
    Worthmann, Karl
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 2443 - 2448
  • [35] Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
    Islam, Muhammad Shafiqul
    Ahmad, Mohd Ashraf
    RESULTS IN ENGINEERING, 2024, 24
  • [36] Data-Driven Simulation for NARX Systems
    Mishra, Vikas K.
    Markovsky, Ivan
    Fazzi, Antonio
    Dreesen, Philippe
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 1055 - 1059
  • [37] Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach
    Zhinan PENG
    Jiefu ZHANG
    Jiangping HU
    Rui HUANG
    Bijoy Kumar GHOSH
    Science China(Information Sciences), 2020, 63 (10) : 270 - 272
  • [38] Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach
    Peng, Zhinan
    Zhang, Jiefu
    Hu, Jiangping
    Huang, Rui
    Ghosh, Bijoy Kumar
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (10)
  • [39] Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach
    Zhinan Peng
    Jiefu Zhang
    Jiangping Hu
    Rui Huang
    Bijoy Kumar Ghosh
    Science China Information Sciences, 2020, 63
  • [40] Maintaining a relevant dataset for data-driven MPC using Willems' fundamental lemma extensions
    Faye-Bedrin, Alexandre
    Aranovskiy, Stanislav
    Chauchat, Paul
    Bourdais, Romain
    2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 2584 - 2589