IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v47y2016i10p2475-2486.html
   My bibliography  Save this article

Consensus with guaranteed convergence rate of high-order integrator agents in the presence of time-varying delays

Author

Listed:
  • H.J. Savino
  • F.O. Souza
  • L.C.A. Pimenta

Abstract

This paper aims to study the consensus problem in directed networks of agents with high-order integrator dynamics and fixed topology. It is considered the existence of non-uniform time-varying delays in the agents control laws for each interaction between agents and their neighbours. Based on Lyapunov–Krasovskii stability theory and algebraic graph theory, sufficient conditions, in terms of linear matrix inequalities, are given to verify if consensus is achieved with guaranteed exponential convergence rate. The efficiency of the proposed method is verified by numerical simulations. The simulations reveal that the conditions established in this work outperformed the similar existing ones in all numerical tests accomplished in this paper.

Suggested Citation

  • H.J. Savino & F.O. Souza & L.C.A. Pimenta, 2016. "Consensus with guaranteed convergence rate of high-order integrator agents in the presence of time-varying delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(10), pages 2475-2486, July.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:10:p:2475-2486
    DOI: 10.1080/00207721.2014.998750
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2014.998750
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2014.998750?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yanping Gao & Min Zuo & Tongqiang Jiang & Junping Du & Jingwei Ma, 2013. "Asynchronous consensus of multiple second-order agents with partial state information," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(5), pages 966-977.
    2. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    3. Fenglan Sun & Zhi-Hong Guan, 2013. "Finite-time consensus for leader-following second-order multi-agent system," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(4), pages 727-738.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Zhenhua, 2022. "Consensus of continuous-time agent dynamics with unknown input and communication delays," Applied Mathematics and Computation, Elsevier, vol. 412(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zi-Jiang Yang & Pan Qin, 2016. "Robust synchronisation tracking control of networked Euler–Lagrange systems using reference trajectory estimation based on virtual double-integrators," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(9), pages 2088-2099, July.
    2. Moina Ajmeri & Ahmad Ali, 2017. "Analytical design of modified Smith predictor for unstable second-order processes with time delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(8), pages 1671-1681, June.
    3. Qiu, Ruozhen & Sun, Minghe & Lim, Yun Fong, 2017. "Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 880-892.
    4. Mourad Kchaou & Ahmed El-Hajjaji, 2017. "Resilient sliding mode control for discrete-time descriptor fuzzy systems with multiple time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(2), pages 288-301, January.
    5. Changyin Sun & Qing Wang & Yao Yu, 2017. "Robust output containment control of multi-agent systems with unknown heterogeneous nonlinear uncertainties in directed networks," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1173-1181, April.
    6. Hassan Ghiti Sarand & Bahram Karimi, 2016. "Synchronisation of high-order MIMO nonlinear systems using distributed neuro-adaptive control," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(9), pages 2214-2224, July.
    7. Nadja Bömmel & Guido Heineck, 2023. "Revisiting the causal effect of education on political participation and interest," Education Economics, Taylor & Francis Journals, vol. 31(6), pages 664-682, November.
    8. R. Sakthivel & V. Nithya & Yong-Ki Ma & Chao Wang, 2018. "Finite-Time Nonfragile Dissipative Filter Design for Wireless Networked Systems with Sensor Failures," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    9. Zhang-peng Tian & Hong-yu Zhang & Jing Wang & Jian-qiang Wang & Xiao-hong Chen, 2016. "Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(15), pages 3598-3608, November.
    10. Carlos Bianchi & Pablo Galaso & Sergio Palomeque, 2020. "Invention and Collaboration Networks in Latin America: Evidence from Patent Data," Documentos de Trabajo (working papers) 20-04, Instituto de Economía - IECON.
    11. Burcu Yılmaz Kaya & Aylin Adem & Metin Dağdeviren, 2020. "A DSS-Based Novel Approach Proposition Employing Decision Techniques for System Design," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 413-445, March.
    12. M.V. Basin & M. Hernandez-Gonzalez, 2016. "Discrete-time filtering for nonlinear polynomial systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(9), pages 2058-2066, July.
    13. Boone, David, 2016. "New Zealand public service leaders and organisational change inception: A framework for deciding what to change," MBA Research Papers 6137, Victoria University of Wellington, School of Management.
    14. Valentin Bertsch & Wolf Fichtner, 2016. "A participatory multi-criteria approach for power generation and transmission planning," Annals of Operations Research, Springer, vol. 245(1), pages 177-207, October.
    15. Shafi F. Al Dousari, 2019. "Transformation of Texaco and Barriers to Its Implementation," International Business Research, Canadian Center of Science and Education, vol. 12(11), pages 38-47, November.
    16. A’kif AL-FUGARA & Abdel Rahman AL-SHABEEB & Yahya AL-SHAWABKEH & Hani AL-AMOUSH & Rida AL-ADAMAT, 2018. "Simulation And Prediction Of Urban Spatial Expansion In Highly Vibrant Cities Using The Sleuth Model: A Case Study Of Amman Metropolitan, Jordan," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(1), pages 37-56, February.
    17. Pan, Jason Chao-Hsien & Shih, Po-Hsun & Wu, Ming-Hung, 2015. "Order batching in a pick-and-pass warehousing system with group genetic algorithm," Omega, Elsevier, vol. 57(PB), pages 238-248.
    18. Gaddafi Abdul-Salaam & Abdul Hanan Abdullah & Mohammad Hossein Anisi & Abdullah Gani & Abdulhameed Alelaiwi, 2016. "A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 61(1), pages 159-179, January.
    19. Abdullah Almuqrin & Ibrahim Mutambik, 2021. "The explanatory power of social cognitive theory in determining knowledge sharing among Saudi faculty," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-24, March.
    20. Thomas Görzen & Dennis Kundisch, 2019. "When in Doubt Follow the Crowd: How Idea Quality Moderates the Effect of an Anchor on Idea Evaluation," Working Papers Dissertations 57, Paderborn University, Faculty of Business Administration and Economics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tsysxx:v:47:y:2016:i:10:p:2475-2486. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.