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Consensus Control of Networked Multi-Agent Systems and Its Applications

Research Project

Project/Area Number 20K23328
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 1001:Information science, computer engineering, and related fields
Research InstitutionHiroshima University

Principal Investigator

RAMASAMY SARAVANAKUMAR  広島大学, 先進理工系科学研究科(工), 助教 (10881279)

Project Period (FY) 2020-09-11 – 2023-03-31
Project Status Discontinued (Fiscal Year 2022)
Budget Amount *help
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
KeywordsConsensus control / Multi-agent systems / Memory sampled-data / Linear matrix inequality / Multi agent systems / Consensus / Looped functional method / Lyapunov stability / Sampled-data control / Sampled-data consensus / Looped-functional method / Multi-Agent Systems / Consensus Control / Lyapunov theory
Outline of Research at the Start

Various consensus control schemes for networked multi-agent systems will be established via Lyapunov-Krasovskii functional and linear matrix inequality approaches. To show the usefulness of consensus scheme, real-life engineering problems to be considered such as Multi-teleoperator systems and so on.

Outline of Annual Research Achievements

Consensus-based stabilization studies of multi-agent systems are proposed in this project. In particular, a memory-based sampled-data consensus framework for multi-agent systems in the presence of nonlinear actuator faults is studied. To reduce state exchanges and conserve energy resources, communication between neighboring agents is based solely on state samples at variable sampling intervals. As two general constraints of the actuator, both bounded nonlinear partial loss of effectiveness and bias failure are considered in the problem formulation. Sufficient conditions to guarantee consensus under certain circumstances are derived as linear matrix inequality conditions. Unlike existing Lyapunov-Krasovskii-based methods, the design framework proposed in this brief is based on a loop-functional approach that reduces conservatism in the design of the required consensus control gains. This less conservative approach allows for larger sampling intervals as well as more severe actuator failures, increasing the utility of the proposed approach. To obtain simulation results, the MATLAB Yalmip parser and SDPT3 solver are effectively used in this project. Simulation results based on tunnel diode circuit and a nonholonomic mobile robot MAS quantifies the effectiveness of the proposed approach. Additionally, the gain matrix of the sampled data controller is obtained by solving the inequality of the derived linear matrix. Moreover, robust exponential stability and Takagi-Sugeno fuzzy control synthesis for networked control systems via H∞ performance has been investigated.

Report

(3 results)
  • 2022 Annual Research Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (13 results)

All 2022 2021

All Journal Article (9 results) (of which Int'l Joint Research: 8 results,  Peer Reviewed: 8 results) Presentation (4 results) (of which Int'l Joint Research: 3 results)

  • [Journal Article] Robust reliable H∞ control for offshore steel jacket platforms via memory sampled‐data strategy2022

    • Author(s)
      Saravanakumar Ramasamy、Kazemy Ali、Cao Yang
    • Journal Title

      Mathematical Methods in the Applied Sciences

      Volume: - Issue: 7 Pages: 1-13

    • DOI

      10.1002/mma.8390

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Network‐based robust exponential fuzzy control for uncertain systems2022

    • Author(s)
      Saravanakumar Ramasamy、Hoon Joo Young
    • Journal Title

      Mathematical Methods in the Applied Sciences

      Volume: - Issue: 7 Pages: 1-17

    • DOI

      10.1002/mma.8943

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Further results on stability analysis of Takagi-Sugeno fuzzy time-delay systems via improved Lyapunov-Krasovskii functional2022

    • Author(s)
      Datta Rupak、Saravanakumar Ramasamy、Dey Rajeeb、Bhattacharya Baby
    • Journal Title

      AIMS Mathematics

      Volume: 7 Issue: 9 Pages: 16464-16481

    • DOI

      10.3934/math.2022901

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] State estimation of memristor-based stochastic neural networks with mixed variable delays2022

    • Author(s)
      Saravanakumar Ramasamy、Dutta Hemen
    • Journal Title

      Miskolc Mathematical Notes

      Volume: - Pages: 1-16

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Reliable Memory Sampled-Data Consensus of Multi-Agent Systems With Nonlinear Actuator Faults2022

    • Author(s)
      Saravanakumar Ramasamy、Amini Amir、Datta Rupak、Cao Yang
    • Journal Title

      IEEE Transactions on Circuits and Systems II: Express Briefs

      Volume: 69 Issue: 4 Pages: 2201-2205

    • DOI

      10.1109/tcsii.2021.3124043

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] New insights on fuzzy sampled-data stabilization of delayed nonlinear systems2022

    • Author(s)
      Saravanakumar Ramasamy、Datta Rupak、Cao Yang
    • Journal Title

      Chaos, Solitons & Fractals

      Volume: 154 Pages: 111654-111654

    • DOI

      10.1016/j.chaos.2021.111654

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Improved Stabilization Criteria for Fuzzy Chaotic Systems Using Memory Sampled-Data Strategy2022

    • Author(s)
      Saravanakumar Ramasamy
    • Journal Title

      IEEE Control Systems Letters

      Volume: 6 Pages: 1952-1957

    • DOI

      10.1109/lcsys.2021.3136659

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States2022

    • Author(s)
      Saravanakumar Ramasamy、Ali M. Syed
    • Journal Title

      Neural Processing Letters

      Volume: 0 Issue: 3 Pages: 0-0

    • DOI

      10.1007/s11063-021-10697-2

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Sampled-data based extended dissipative synchronization of stochastic complex dynamical networks2022

    • Author(s)
      Saravanakumar Ramasamy、Cao Yang、Kazemy Ali、Zhu Quanxin
    • Journal Title

      Discrete & Continuous Dynamical Systems - S

      Volume: 0 Issue: 11 Pages: 0-0

    • DOI

      10.3934/dcdss.2022082

    • Related Report
      2021 Research-status Report
  • [Presentation] Improved stabilization criteria for fuzzy chaotic systems using memory sampled-data strategy2022

    • Author(s)
      Saravanakumar Ramasamy
    • Organizer
      American Control Conference 2022
    • Related Report
      2022 Annual Research Report
  • [Presentation] Further Stability and L2-Gain Conditions for Sampled-Data Systems2021

    • Author(s)
      Ramasamy Saravanakumar
    • Organizer
      International conference on Soft Computing and Machine Intelligence
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Dissipative Control for Delayed T-S fuzzy System with Data Packet Dropout2021

    • Author(s)
      Ramasamy Saravanakumar
    • Organizer
      International conference on Soft Computing and Machine Intelligence
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Reliable Memory Sampled-Data Control for T-S Fuzzy Systems2021

    • Author(s)
      Ramasamy Saravanakumar
    • Organizer
      7th International Conference on Advances in Control and Optimization of Dynamical Systems
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research

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Published: 2020-09-29   Modified: 2023-12-25  

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