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Volume 1 Issue 1
Jan.  2014

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2014  >  1(1): 40-45
Hao Zhang, Gang Feng, Huaicheng Yan and Qijun Chen, "Distributed Self-triggered Control for Consensus of Multi-agent Systems," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 1, pp. 40-45, 2014.
Citation: Hao Zhang, Gang Feng, Huaicheng Yan and Qijun Chen, "Distributed Self-triggered Control for Consensus of Multi-agent Systems," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 1, pp. 40-45, 2014.
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Distributed Self-triggered Control for Consensus of Multi-agent Systems

  • 1. Department of Control Science and Engineering, Tongji University, Shanghai 200092, China;

  • 2. Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China;

  • 3. Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China;

  • 4. Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China;

  • 5. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;

  • 6. Department of Control Science and Engineering, Tongji University, Shanghai 200092, China

Funds:

This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region of China (CityU/113311), National Natural Science Foundation of China (61273026, 61272064, 91120308), the Xiangjiang Project (XJ2011023), International Cooperation Foundation of Shanghai Municipal Science and Technology Commission (135 10711100), the Fundamental Research Funds for the Central Universities, and the Innovation Program of Shanghai Municipal Education Commission (12zz052).

    Abstract
  • This paper studies the consensus problem of general linear multi-agent systems via self-triggered control. Two distributed self-triggered control schemes based on state feedback and output feedback are developed respectively. It is shown that under the proposed control protocols, consensus can be reached if the communication graph of the multi-agent system is connected. An example is presented to illustrate the effectiveness of the proposed control methods.

     

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    • References(15)
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