Abstract
This paper studies optimal leader-following consensus of multi-agent systems based on linear-quadratic regulator (LQR). By applying matrix theory and linear-quadratic regulator theory, an optimal approach with the scaling factor is proposed for heterogeneous multi-agent systems which consist of first-order agents and second-order agents to reach consensus as well as minimize the cost function. Numerical simulations verify the validity of the conclusions in this paper.
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