Distributed data driven control for multi-agent consensus with unknown system dynamics |
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| Institution: | 1. School of Automation, Beijing Institute of Technology, Beijing 100081, China;2. Key Lab of Intelligent Control and Decision of Complex Systems, Beijing 100081, China;3. Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China |
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| Abstract: | This study investigates the consensus tracking problem for unknown multi-agent systems (MASs) with time-varying communication topology by using the methods of data-driven control and model predictive control. Under the proposed distributed iterative protocol, sufficient conditions for reducing tracking error are analyzed for both time invariable and time varying desired trajectories. The main feature of the proposed protocol is that the dynamics of the multi-agent systems are not required to be known and only local input-output data are utilized for each agent. Numerical simulations are presented to illustrate the effectiveness of the derived consensus conditions. |
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