A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 2 Issue 3
Jul.  2015

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 11.8, Top 4% (SCI Q1)
    CiteScore: 17.6, Top 3% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2015  >  2(3): 248-257
Zhaoxia Wang, Minrui Fei, Dajun Du and Min Zheng, "Decentralized Event-Triggered Average Consensus for Multi-Agent Systems in CPSs with Communication Constraints," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 248-257, 2015.
Citation: Zhaoxia Wang, Minrui Fei, Dajun Du and Min Zheng, "Decentralized Event-Triggered Average Consensus for Multi-Agent Systems in CPSs with Communication Constraints," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 248-257, 2015.
shu

Decentralized Event-Triggered Average Consensus for Multi-Agent Systems in CPSs with Communication Constraints

  • 1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China;

  • 2. School of Electrical Engineering and Automation, Qilu University of Technology, Jinan 250353, China;

  • 3. Shanghai Key Laboratoy of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China

Funds:

This work was supported by National Natural Science Foundation of China (61473182), National Key Scientific Instrument and Equipment Development Project (2012YQ15008703), Project of Science and Technology Commission of Shanghai Municipality (14JC1402200, 15JC1401900, 14ZR1414800), and Shanghai Rising-Star Program (13QA1401600).

    Abstract
  • The paper investigates decentralized event-triggered average consensus problem for multi-agent systems in cyberphysical systems (CPSs) with communication constraints. To reduce communication burden and improve the communication efficiency of multi-agent systems in CPSs, event-trigger is distributed at subsystem/agent level. A multi-agent system is then modeled as a reduced dimension hybrid system by taking into account decentralized event-triggered mechanism, communication delays and data dropouts within one framework. Some sufficient conditions for average consensus of each agent and an upper bound of communication delay and maximal allowable number of successive data dropouts (MANSD) are obtained, which can conveniently provide the relationship between the triggering parameters, communication constraints and the system stability. Specially, the quantitative relationship between the triggering parameters, MANSD and the system stability is derived. Finally, simulation results are given to illustrate the effectiveness of the proposed method.

     

    • FullText(HTML)
  • loading
    • References(27)
  • [1]
    Rajkumar R. A cyber-physical future. Proceedings of the IEEE, 2012, 100:1309-1312
    [2]
    Wen Jing-Rong, Wu Mu-Qing, Su Jing-Fang. Cyber-physical system. Acta Automatica Sinica, 2012, 38(4):507-517(in Chinese)
    [3]
    Liu J L, Zheng Y, Stojmenovic I. Receiver consensus:on-time warning delivery for vehicular ad-hoc networks. IEEE Transactions on Emerging Topics in Computing, 2013, 1(1):57-68
    [4]
    Derler P, Lee E A, Vincentelli A S. Modeling cyber-physical systems. Proceedings of the IEEE, 2012, 100(1):13-28
    [5]
    Li T, Fu M Y, Xie L H, Zhang J F. Distributed consensus with limited communication data rate. IEEE Transactions on Automatic Control, 2011, 56(2):279-292
    [6]
    Sun F L, Guan Z H, Ding L, Wang Y W. Mean square averageconsensus for multi-agent systems with measurement noise and time delay. International Journal of Systems Science, 2013, 44(6):995-1005
    [7]
    Cao Y C, Yu W W, Ren W, Chen G R. An overview of recent progress in the study of distributed multi-agent coordination. IEEE Transactions on Industrial Informatics, 2013, 9(1):427-438
    [8]
    Huang Q Z. Consensus analysis of multi-agent discrete-time systems. Acta Automatica Sinica, 2012, 38(7):1127-1133
    [9]
    Olfati-Saber R, Murray R M. Consensus problems in networks of agents with switching topology and time-delays. IEEE Transactions on Automatic Control, 2004, 49(9):1520-1533
    [10]
    Sakurama K, Nakano K. Necessary and sufficient condition for average consensus of networked multi-agent systems with heterogeneous time delays. International Journal of Systems Science, 2015, 46(5):818-830
    [11]
    Sun Y G, Wang L. Consensus of multi-agent systems in directed networks with nonuniform time-varying delays. IEEE Transactions on Automatic Control, 2009, 54(7):1607-1613
    [12]
    Dimarogonas D V, Frazzoli E, Johansson K H. Distributed eventtriggered control for multi-agent systems. IEEE Transactions on Automatic Control, 2012, 57(5):1291-1297
    [13]
    Meng X Y, Chen T W. Event based agreement protocols for multi-agent networks. Automatica, 2013, 49(7):2125-2132
    [14]
    Garcia E, Cao Y C, Yu H, Antsaklis P, Casbeer D. Decentralised eventtriggered cooperative control with limited communication. International Journal of Control, 2013, 86(9):1479-1488
    [15]
    Zhang H, Feng G, Yan H C, Chen Q J. Observer-based output feedback event-triggered control for consensus of multi-agent systems. IEEE Transactions on Industrial Electronics, 2014, 61(9):4885-4894
    [16]
    Zhou B, Liao X F, Huang T W, Chen G. Leader-following exponential consensus of general linear multi-agent systems via event-triggered control with combinational measurements. Applied Mathematics Letters, 2015, 40:35-39
    [17]
    Seyboth G S, Dimarogonas D V, Frazzoli E, Johansson K H. Eventbased broadcasting for multi-agent average consensus. Automatica, 2013, 49(1):245-252
    [18]
    Yin X X, Yue D, Hu S L. Distributed event-triggered control of discretetime heterogeneous multi-agent systems. Journal of the Franklin Institute, 2013, 350(3):651-669
    [19]
    Peng C, Yang T C. Event-triggered communication and H∞ control co-design for networked control systems. Automatica, 2013, 49(5):1326-1332
    [20]
    Wang X F, Lemmon M D. Event-triggering in distributed networked control systems. IEEE Transactions on Automatic Control, 2011, 56(3):586-601
    [21]
    Wang Z X, Du D J, Fei M R. Average consensus in directed networks of multi-agents with uncertain time-varying delays. Acta Automatica Sinica, 2014, 40(11):2602-2608
    [22]
    Wang Z X, Fei M R, Du D J, Shang L L. Event-triggered average consensus for multiagent systems with time-varying delay. Mathematical Problems in Engineering, 2014, 2014:Article ID 131586
    [23]
    Hu Y B, Lam J, Liang J L. Consensus control of multi-agent systems with missing data in actuators and Markovian communication failure. International Journal of Systems Science, 2013, 44(10):1867-1878
    [24]
    Park P G, Ko J W, Jeong C. Reciprocally convex approach to stability of systems with time-varying delays. Automatica, 2011, 47(1):235-238
    [25]
    Wang J F, Liu C F, Yang H Z. Stability of a class of networked control systems with Markovian characterization. Applied Mathematical Modeling, 2012, 36(7):3168-3175
    [26]
    Qiu L, Luo Q, Gong F, Li S B, Xu B G. Stability and stabilization of networked control systems with random time delays and packet dropouts. Journal of the Franklin Institute, 2013, 350(7):1886-1907
    [27]
    Gu K Q, Kharitonov V L, Chen J. Stability of Time-delay Systems. Boston:Birkhäuser, 2003.
    • Related Articles
    • Supplements(0)

Catalog

    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
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1207) PDF downloads(15) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return