This paper presents an MPC (Model Predictive Control) based consensus algorithm which solves a consensus problem in which constraints are imposed on the increment of the state of each agent. After making an artificial consensus trajectory using a previously designed consensus algorithm, the MPC is used to make the agent track the consensus trajectory. Simulation results demonstrate the effectiveness of the proposed algorithm.
Consensus problem MPC tracking multi-agent systems
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