Optimal Distributed Leader-Following Consensus of Linear Multi-Agent Systems: A Dynamic Average Consensus-Based Approach

In this brief, a novel distributed leader-following consensus controller for linear multi-agent systems (MASs) with one leader and N followers is designed for optimal leader-following consensus control. A user-friendly global objective function is well designed in a quadratic form. The proper choice of the weighting matrices and necessary and sufficient conditions for optimizing the objective function are given. The proposed controller can guarantee the optimization of the objective function and the achievement of the leader-following consensus of the MASs. To deal with the coupling in the controllers, we propose a dynamic average consensus-based algorithm to estimate the controller distributedly, and the estimate errors converge to zero in finite time. A simulation example is provided to demonstrate the results.