Research article Special Issues

Design of distributed interval observer for cyber-physical system

  • Published: 04 September 2026
  • MSC : 93B07, 93B53, 93C05, 93D05

  • Cyber-physical systems (CPS) possess the characteristics of distribution and heterogeneity. The states of each subsystem are interrelated, and the information is dispersed. A single observer can only obtain partial measurement information and is unable to estimate all the states of the system. In this paper, a distributed interval observer (DIO) design method is proposed for CPS with bounded uncertainties and affected by disturbances and noise. Compared with traditional interval observers, it no longer requires the original system to be cooperative or the estimation error system to have an order-preserving property. This broadens the application scope of distributed interval observers. Sufficient conditions for the bounded stability of the observer error system are given using Lyapunov stability theory and Riccati equation. Finally, numerical simulations prove the effectiveness of the proposed method.

    Citation: Danxia Li, Shan Wang, Yujie Chu, Qian Shen, Jiale Mi, Zipeng Wang. Design of distributed interval observer for cyber-physical system[J]. AIMS Mathematics, 2026, 11(9): 28436-28451. doi: 10.3934/math.20261132

    Related Papers:

  • Cyber-physical systems (CPS) possess the characteristics of distribution and heterogeneity. The states of each subsystem are interrelated, and the information is dispersed. A single observer can only obtain partial measurement information and is unable to estimate all the states of the system. In this paper, a distributed interval observer (DIO) design method is proposed for CPS with bounded uncertainties and affected by disturbances and noise. Compared with traditional interval observers, it no longer requires the original system to be cooperative or the estimation error system to have an order-preserving property. This broadens the application scope of distributed interval observers. Sufficient conditions for the bounded stability of the observer error system are given using Lyapunov stability theory and Riccati equation. Finally, numerical simulations prove the effectiveness of the proposed method.



    加载中


    [1] S. J. Oks, M. Jalowski, M. Lechner, S. Mirschberger, M. Merklein, B. Vogel-Heuser, et al., Cyber-physical systems in the context of industry 4.0: A review, categorization and outlook, Inform. Syst. Front., 26 (2024), 1731–1772. https://doi.org/10.1007/s10796-022-10252-x doi: 10.1007/s10796-022-10252-x
    [2] D. Ding, Q. L. Han, Z. Wang, X. Ge, A survey on model-based distributed control and filtering for industrial cyber-physical systems, IEEE T. Ind. Inform., 15 (2019), 2483–2499. https://doi.org/10.1109/TII.2019.2905295 doi: 10.1109/TII.2019.2905295
    [3] L. Zhang, M. Lu, F. Deng, J. Chen, Cooperative output regulation subject to uncertain exosystems and its application: A fully distributed adaptive observer approach, IEEE T. Control Netw. Syst., 12 (2025), 1830–1842. https://doi.org/10.1109/TCNS.2025.3543667 doi: 10.1109/TCNS.2025.3543667
    [4] X. J. Zhang, K. Hengster-Movrić, M. Šebek, W. Desmet, C. Faria, Distributed observer and controller design for spatially interconnected systems, IEEE T. Contr. Syst. T., 27 (2017), 1–13. https://doi.org/10.1109/TCST.2017.2769019 doi: 10.1109/TCST.2017.2769019
    [5] M. Long, H. Su, W. X. Zheng, Y. Wang, R. Su, Adaptive event-triggered distributed observer for unknown-input LTI systems, IEEE T. Automat. Contr., 70 (2025), 8274–8281. https://doi.org/10.1109/TAC.2025.3581142 doi: 10.1109/TAC.2025.3581142
    [6] J. L. Gouzé, A. Rapaport, M. Z. Hadj-Sadok, Interval observers for uncertain biological systems, Ecol. Model., 133 (2000), 45–56. https://dx.doi.org/10.1016/S0304-3800(00)00279-9 doi: 10.1016/S0304-3800(00)00279-9
    [7] F. Mazenc, O. Bernard, Interval observers for linear time-invariant systems with disturbances, Automatica, 47 (2011), 140–147. https://doi.org/10.1016/j.automatica.2010.10.019 doi: 10.1016/j.automatica.2010.10.019
    [8] Z. H. Wang, Y. Shen, S. H. Guo, Interval observer design for linear descriptor systems, Control Theory A., 35 (2018), 956–962. https://doi.org/10.7641/CTA.2017.70328 doi: 10.7641/CTA.2017.70328
    [9] W. Zhu, Y. Zhou, M. Xiao, Interval observer design for linear discrete-time switched systems, Microelectron. Comput., 40 (2023), 73–79. https://doi.org/10.19304/J.ISSN1000-7180.2022.0596 doi: 10.19304/J.ISSN1000-7180.2022.0596
    [10] N. Meslem, Y. D. Ma, T. Raïssi, Z. H. Wang, New structure to design interval observers for linear continuous-time systems, Int. J. Control, 97 (2024), 1638–1646. https://doi.org/10.1080/00207179.2023.2221748 doi: 10.1080/00207179.2023.2221748
    [11] W. Y. Zhang, M. Z. Tang, S. H. Guo, Interval observer design for cyber-physical systems and application to attack detection, J. Syst. Sci. Math. Sci., 41 (2021), 2379–2389. https://doi.org/10.12341/jssms20533 doi: 10.12341/jssms20533
    [12] D. X. Li, J. Chang, W. S. Chen, T. Raïssi, IPR-based distributed interval observers design for uncertain LTI systems, ISA T., 121 (2021), 147–155. https://doi.org/10.1016/J.ISATRA.2021.03.026 doi: 10.1016/J.ISATRA.2021.03.026
    [13] X. L. Wang, W. C. Xu, H. S. Su, Z. W. Gao, G. R. Chen, Designing a completely distributed interval observer for the LTI system, IEEE T. Automat. Contr., 70 (2025), 1793–1808. https://doi.org/10.1109/TAC.2024.3471332 doi: 10.1109/TAC.2024.3471332
    [14] M. Khajenejad, S. Brown, S. Martínez, Distributed resilient interval observer synthesis for nonlinear discrete-time systems, IEEE T. Automat. Contr., 70 (2025), 6656–6671. https://doi.org/10.1109/TAC.2025.3565189 doi: 10.1109/TAC.2025.3565189
    [15] D. X. Li, J. Chang, W. Chen, Event-triggered controller design for LTI systems: A distributed interval observer-based approach, ISA T., 131 (2022), 146–159. https://doi.org/10.1016/J.ISATRA.2022.04.049 doi: 10.1016/J.ISATRA.2022.04.049
    [16] Z. H. Yin, J. Huang, T. N. Dinh, Design of distributed interval observers for multiple Euler–Lagrange systems, Mathematics, 11 (2023), 1872. https://doi.org/10.3390/math11081872 doi: 10.3390/math11081872
    [17] D. Xu, F. Zhu, Z. Zhou, Distributed fault detection and estimation in cyber-physical systems subject to actuator faults, ISA T., 104 (2020), 162–174. https://doi.org/10.1016/j.isatra.2019.12.002 doi: 10.1016/j.isatra.2019.12.002
    [18] Y. Gao, W. Ren, R. Wu, Attack detection and security state estimation for cyber-physical systems, Tsinghua Univ. (Nat. Sci. Edition), 61 (2021), 1234–1239. https://doi.org/10.16511/j.cnki.qhdxxb.2021.21.008 doi: 10.16511/j.cnki.qhdxxb.2021.21.008
    [19] L. Ye, F. L. Zhu, J. Zhang, Sensor attack detection and isolation based on sliding mode observer for cyber-physical systems, Int. J. Adapt. Control, 34 (2020), 469–483. https://doi.org/10.1002/acs.3094 doi: 10.1002/acs.3094
    [20] D. Li, J. Chang, W. S. Chen, J. Cieslak, Distributed interval observer-based fault detection for a class of distributed measurement systems, In: 2023 9th International Conference on Control, Automation and Robotics (ICCAR), 227–234 (2023). https://doi.org/10.1109/ICCAR57134.2023.10151712
    [21] F. Cacace, A. Germani, C. Manes, A new approach to design interval observers for linear systems, IEEE T. Automat. Contr., 60 (2015), 1665–1670. https://doi.org/10.1109/TAC.2014.2364976 doi: 10.1109/TAC.2014.2364976
    [22] X. Wang, H. Su, F. Zhang, G. Chen, A robust distributed interval observer for LTI systems, IEEE T. Automat. Contr., 68 (2023), 1337–1352. https://doi.org/10.1109/TAC.2022.3151586 doi: 10.1109/TAC.2022.3151586
  • Reader Comments
  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(175) PDF downloads(43) Cited by(0)

Article outline

Figures and Tables

Figures(7)  /  Tables(1)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog