Journal of Guangdong University of Technology ›› 2022, Vol. 39 ›› Issue (05): 102-111.doi: 10.12052/gdutxb.220066

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Event-Triggered Mechanism Based Non-Fragile Consensus Control for Multi-Rate Multi-Agent Systems

Liu Jian-hua1,3,4, Li Jia-hui1,3,4, Liu Xiao-bin2, Mu Shu-juan1,3,4, Dong Hong-li1,3,4   

  1. 1. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, China;
    2. Sino German Institute of Sngineering, Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China;
    3. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China;
    4. Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya 572024, China
  • Received:2022-03-24 Published:2022-07-18

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Abstract: The research on the non-fragile H∞-consensus control problem for a class of multi-rate multi-agent system under the event-triggered (ET) mechanism is focused on. In order to be more in line with actual need, a multi-rate sampling strategy is adopted, which leads to a multi-rate sampling that can be converted into a single-rate sampling via lifting technique. Considering the transmission burden among the agents, an ET mechanism is introduced to reduce the numbers of transmission among the agents. In addition, in view of the possible inaccuracy of the controller implementation, a controller that can tolerate the changes/fluctuations during the implementation is designed to make the multi-agent system more robust. An observer-based ET non-fragile controller is designed to achieve the H∞-consensus control of the multi-agent system, in which the controller can tolerate the variations/fluctuations during the implementation. By using the linear matrix inequality technique, the sufficient conditions are obtained that can ensure the H∞-consensus control of the considered system, and then the controller parameters are designed. Finally, a numerical simulation example is given to prove the effectiveness of the ET control method.

Key words: multi-agent system, multi-rate sampling, event-triggered mechanism, non-fragile controller

CLC Number: 

  • TP273
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